Leandro Parada Pradenas is an Honorary Research Associate in the Department of Civil and Environmental Engineering at Imperial College London's Faculty of Engineering. He is also a PhD Candidate in AI and Transportation, focusing on advancing safe and efficient autonomous vehicles through Deep Reinforcement Learning (DRL) integrated with Vehicle-to-Vehicle (V2V) communication. His research addresses scalability in Multi-Agent Systems, real-world deployment of robotics, and resilience against adversarial AI threats. Education: PhD Candidate in AI and Transportation (Imperial College London) Research Interests: His work spans cooperative planning among autonomous vehicles, simulation-to-real-world transitions in robotics, and enhancing system security against adversarial AI. He aims to bridge theoretical advancements with practical applications in mobility and security. Professional Background: Previously, he served as a Management Consultant for four years, developing Decision Support Systems for Logistics, Healthcare, and Energy sectors. This experience informs his interdisciplinary approach to solving complex systems challenges. Lab/Teams: While specific lab affiliations are not detailed, his research likely intersects with Imperial's robotics and AI groups focused on autonomous systems and cybersecurity.
Shima Nazari is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at the University of California, Davis. Her research focuses on dynamics and control with applications to transportation systems, energy systems, and electrified/automated vehicles. She leads the CORE Lab, exploring advancements in hybrid powertrains, autonomous vehicle control, and energy-efficient systems. Education: Ph.D., Mechanical Engineering, University of Michigan (2019) M.S., Electrical Engineering, University of Michigan (2016) M.S., Mechanical Engineering, Sharif University of Technology, Iran (2012) B.S., Mechanical Engineering, Sharif University of Technology, Iran (2009) Her research interests span dynamics and control theory applied to hybrid electric vehicles, powertrain optimization, and autonomous systems. She has contributed to advancements in energy-efficient vehicle designs, regenerative braking, and control strategies for electrified powertrains. Her work often bridges mechanical and electrical engineering disciplines to address real-world challenges in transportation and energy. Recent research trends in her articles emphasize data-driven control methods, hybridization strategies for autonomous systems, and thermal management of energy storage solutions. These studies reflect her commitment to interdisciplinary innovation. Although no scientific awards are explicitly mentioned, her contributions to the field are evident through her active research and publications. She advises students in her lab and collaborates on grants focused on sustainable mobility solutions. Dr. Nazari is affiliated with the UC Davis College of Engineering and actively contributes to graduate programs in Dynamics, Controls, Vehicles, and Robotics. The CORE Lab serves as a hub for experimental and computational research in her areas of expertise.
Yen-Chi Chen is an Associate Professor in the Department of Statistics at the University of Washington. He also holds positions as a Data Science Fellow at the UW eScience Institute and as a co-investigator and statistician at the National Alzheimer's Coordinating Center. His academic career spans multiple interdisciplinary fields including statistics, data science, and astrostatistics. Chen's educational background includes a Ph.D. from Carnegie Mellon University, where he received prestigious awards including the Umesh K. Gavasakar Thesis Award (2017) and the William S. Dietrich II Presidential Ph.D. Fellowship Award (2015). His research focuses on nonparametric statistics, topological data analysis, missing data methodologies, cluster analysis, manifold learning, and applications in large-scale structure analysis and astrostatistics. Chen has made significant contributions to the development of statistical methods for analyzing cosmic web structures, GPS data, and causal inference with continuous treatments. His work bridges theoretical statistics with practical applications in astronomy, neuroscience, and public health. Analysis of his recent publications reveals a strong emphasis on developing novel statistical frameworks for complex data structures, particularly focusing on density-based methods, manifold learning, and approaches that address challenges in missing data and causal inference without standard assumptions. ASA Noether Early Career Scholar Award, American Statistical Association (2022) CAREER Award, National Science Foundation (2022-2027) Umesh K. Gavasakar Thesis Award, Carnegie Mellon University (2017) William S. Dietrich II Presidential Ph.D. Fellowship Award, Carnegie Mellon University (2015) Chen has advised numerous graduate students across multiple publications, with a focus on developing new statistical methodologies. His research has been supported by major funding agencies including the National Science Foundation and the National Institutes of Health. He is actively involved in several research groups including the UW Geometric Data Analysis Group, the UW Center for Statistics and the Social Sciences, and the National Alzheimer's Coordinating Center.
Hassan Khan is an Associate Professor at the University of Guelph's School of Computer Science, with research spanning security, systems, and human-computer interaction (HCI). He is a member of the Centre for Advancing Responsible and Ethical Artificial Intelligence (CARE-AI). Research Interests: His work focuses on improving AI-driven mobile security systems through human-in-the-loop evaluations, addressing vulnerabilities in continuous authentication, shoulder surfing, and privacy in enterprise/repair settings. He explores how users interact with security mechanisms and designs interfaces to enhance usability. Scientific Recognition: He has received the NSERC Early Career Researcher Award and a NSERC Discovery Grant, with media coverage in outlets like Time Magazine, The Globe and Mail, and New Scientist. Teaching: Khan teaches courses such as Computer Security Foundations and Advanced Penetration Testing, emphasizing practical cybersecurity and AI systems architecture.
Vishesh Vikas is an Associate Professor in the Department of Mechanical Engineering at the University of Alabama, College of Engineering. He is based in the South Engineering Research Center (SERC) and leads the Agile Robotics Laboratory (ARL@UA), which focuses on bio-inspired, soft, and tensegrity robotics, as well as inertial sensing and estimation. Education: PhD, Mechanical Engineering, University of Florida, 2011 MS, Mechanical Engineering, 2008 B.Tech., IIT Guwahati, 2005 His research spans autonomous systems, wearable technologies, biomedical devices, guidance and control, intelligent systems, space robotics, and engineering education . The lab’s work integrates mechanical design, sensing, and advanced control to create agile, adaptive robotic systems for unstructured environments. The recent publications highlight a strong trend in soft and tensegrity robotics , with focus on gait synthesis, locomotion planning, shape and joint estimation, and dexterous manipulation. These works combine modeling, data-driven control, and sensor fusion, often using accelerometers, IMUs, and vision for real-time feedback. The research is published in top robotics venues such as IEEE TRO, RA-L, and ASME journals. Scientific Awards: No awards explicitly mentioned in the text. Vishesh Vikas actively advises graduate students, including PhD and Master’s candidates, and has successfully guided several to thesis and dissertation completion. His lab is affiliated with multiple research centers including the Alabama Center for the Advancement of AI, Center for Advanced Manufacturing, and Center for Advanced Public Safety. He is involved in outreach and education, including mechatronics workshops and seminar hosting. Current projects include exosuits for spine support and robotic systems for mobility in extreme environments. Laboratory and Team: The Agile Robotics Lab (ARL@UA) fosters interdisciplinary research in nature-inspired robotics, combining principles from biology, mechanics, and control. The team has hosted eminent scholars and is featured in university and college news for its innovative work on wearable robotics and soft manipulators.
Sanjeev Baskiyar is a Professor in the Department of Computer Science and Software Engineering at Auburn University's College of Engineering. He has been actively involved in research, teaching, and academic leadership, with a strong focus on computer systems, real-time and embedded computing, scheduling, cloud and fog computing, and energy-aware architectures. Education: Ph.D., Electrical and Computer Engineering, University of Minnesota M.S., Electrical and Computer Engineering, University of Minnesota B.S., Electronics and Communications, Indian Institute of Science, Bangalore B.S., Physics (with honors), and distinction in Mathematics Dr. Baskiyar’s research interests span scheduling, real-time and embedded systems, computer architecture, fog/cloud computing, thermal/energy-aware computing, and STEM education. His recent work explores machine learning applications in scheduling and quantum computing for fake news detection. He has supervised over 25 graduate students, many of whom now hold academic and industry positions. His recent publications emphasize fog computing simulation, service placement, quantum-inspired fake news detection, and adaptive scheduling using machine learning. These works reflect a trend towards intelligent, scalable, and energy-efficient computing systems, particularly in distributed and edge environments. Scientific Awards and Honors: Walker Teaching Excellence Award, Auburn University, 2020 Summer Faculty Fellow, Air Force Research Labs, 2020 Nominated Best Teaching Assistant, University of Minnesota, 1992 Multiples Merit and State-merit Scholarships Honors in Physics and Distinction in Mathematics Dr. Baskiyar has successfully advised numerous MS and PhD students and secured over $2 million in research funding as Principal Investigator from the National Science Foundation, DARPA, NASA, and industry partners like Wind River Systems and Mentor Graphics. His grants focus on parallel computing education, real-time micro-architectures, and embedded systems. He has also served on editorial boards, program committees, and as a reviewer for NSF and IEEE journals. He has held leadership roles including Senator in the University Faculty Senate and Chair of the E-day Committee. Labs and Research Groups: While not explicitly named, Dr. Baskiyar leads a research group focused on computer systems, scheduling, and embedded computing, as evidenced by his long list of graduate student supervision and funded projects in fog, cloud, and real-time systems.
Juan Carlos De Martin is a Full Professor of Computer Engineering at the Polytechnic of Turin, where he is also co-founder and co-director of the Nexa Center for Internet & Society. He holds a Faculty Associate position at the Berkman Klein Center for Internet & Society at Harvard University and is a member of the Scientific Council of the Treccani Institute and the Steering Committee of Biennale Democracy. He previously served as Vice Rector for Culture and Communication at the Polytechnic of Turin (2018–2023) and as president of its libraries (2007–2015). His research centers on the societal implications of digital technologies, with a strong emphasis on algorithmic and data justice, digital power, and the democratic challenges posed by modern technology. He advocates for a more democratic and ethical technological future, particularly critiquing the dominance of smartphones and promoting digital sovereignty. His recent publications reflect a clear trend toward ethical AI, data protection, and the social impact of algorithms. He has published on gender bias in language models, GDPR compliance tools, and non-discrimination audits in software, demonstrating a sustained commitment to fairness, transparency, and accountability in digital systems. Best Student Paper Award IEEE ISCC 2011 Best Student Paper Award IEEE ICME 2005 Fellow at Harvard University (Berkman Klein Center) (2011–2015, 2016–2024) Faculty Associate at Collège d'études mondos, France (2016) De Martin has advised PhD students like Marco Rondina on Responsible AI and has led numerous EU-funded research projects such as COMMUNIA and DECODE. He has also played a key role in public policy, serving on ministerial working groups on AI and online hate. He is the founder of the Biennale Tecnologia and has authored influential books on the future of universities and technology, all published under Creative Commons licenses. He leads the Nexa Center for Internet & Society, a multidisciplinary research group focused on the legal, economic, and social aspects of the Internet. The center fosters collaboration between computer scientists, legal scholars, and social scientists to address pressing digital challenges.
Shiri Azenkot is an Associate Professor of Information Science at the Jacobs Technion-Cornell Institute, Cornell Tech, Cornell University, where she directs the Enhancing Ability Lab. She also serves as an affiliate faculty member in the Computer Science Department at the Technion--Israel Institute of Technology. Her research leverages artificial intelligence to design enabling systems that promote equity and improve quality of life for marginalized populations, with a current focus on visual impairments. Her educational background includes a PhD in Computer Science & Engineering from the University of Washington, advised by Richard Ladner and Jacob Wobbrock. Azenkot's research centers on intelligent interactive systems that enhance perception and ability for people with disabilities. She investigates perceptual abilities and behaviors to design novel systems for navigation, STEM learning, and socialization. Her work spans accessibility, human-computer interaction, and the application of AI/XR technologies to create inclusive solutions for blind and low-vision populations, addressing critical gaps in assistive technology. Recent publications reveal strong trends in developing real-time AI-powered assistive tools for low-vision users, accessible STEM education through tactile interfaces, and examining social dynamics of disability in digital spaces. Her work bridges technical innovation with deep user-centered design, particularly in XR accessibility through co-founded initiatives like XR Access. Scientific awards include: NSF CAREER Award NSF CRII Award 10-year Impact Award at MobileHCI Google Faculty Award Azenkot has advised students including Yuhang Zhao (now Assistant Professor at University of Wisconsin-Madison), Lei, and Danielle. Her research is funded by NSF, AOL, Verizon, and Facebook. She co-founded XR Access and leads the Enhancing Ability Lab, which conducts user studies and develops systems like Markit/Talkit and Livefonts. Current projects include XR accessibility REU programs and symposiums advancing industry-academia collaboration. She directs the Enhancing Ability Lab at Cornell Tech and co-leads XR Access, driving community initiatives to make augmented/virtual reality accessible while mentoring the next generation of accessibility researchers through funded REU programs and industry partnerships.
Abderrahim Benslimane is a Full Professor of Computer Science at the University of Avignon, France, where he serves as Vice Dean of International Relations at the UFR STS (Unité de Formation et de Recherche en Sciences et Technologies). He is also Head of the master degree SICOM (Systèmes Informatiques Communicants: réseaux, services et sécurité) program at the university. His extensive academic career spans several decades with significant contributions to computer science, particularly in networking and security domains. Professor Benslimane holds a HDR (Title to supervise researches) from the University of Cergy-Pontoise, a Ph.D. from the University of Franche-Comté, along with M.S. and B.S. degrees in Computer Science from the same institution and the University of Nancy respectively. His research interests primarily focus on distributed computing, networking and communication protocols, with particular emphasis on modeling, describing and implementing secure communication protocols and multimedia applications in heterogeneous network architectures. He combines engineering and theoretical approaches using graphs, distributed algorithms, transition systems, and performance evaluation models. Benslimane's scholarly work demonstrates a strong trend toward addressing security and privacy challenges in emerging technologies. His recent publications focus on cybersecurity applications for wireless sensor networks, Internet of Things, blockchain implementations, UAV communications, and vehicular networks. He has pioneered research in energy attack mitigation, trust management systems, and secure group communications, often employing game theory and novel cryptographic approaches. His work bridges theoretical foundations with practical implementations in next-generation networking technologies. IEEE VTS Distinguished Lecturer (2020-2022) Best Paper award at IEEE ICC 2019 Multiple Prime d'Encadrement et de Recherche Doctorale awards (1998-2021) Prime d'Excellence Scientifique (2011-2015) IEEE Senior Member As an academic leader, Benslimane has served as Editor in Chief of Multimedia Intelligence and Security Inderscience Journal, Area Editor of IEEE Internet of Things Journal, and Associate Editor for multiple prestigious publications including IEEE Transactions on Multimedia and IEEE Wireless Communication Magazine. He has founded and led research centers including the Informatics Research center (CRI) at the French University in Egypt and the Multimedia and networking team (RAM) at the Laboratoire d'Informatique d'Avignon (LIA). His laboratory research focuses on security, communication protocols, graphs and distributed algorithms, with applications in ad hoc networks, sensor networks, vehicular networks, and IoT.
Ingrid L. Nelson is an Associate Professor at the University of Vermont in the Department of Geography and Geosciences . She specializes in feminist political ecology , digital geographies , and critical development studies , focusing on how digital technologies mediate environmental expertise and sustainability projects. Current research group: Feminist Digital Natures Past projects: Campus Green and Gold (Vermont campus sustainability, 2014-2020) Key fieldwork: Miombo woodlands (Mozambique) Her teaching explores environmental justice , gender-space relations , and critical digital analysis through courses like Gender, Space and Environment and Natures, Places and the Politics of Truth . She emphasizes collaborative learning, autoethnography, and digital methods. Research interests include more-than-human politics , embodied environmental subjectivity , and critical decolonial theory applied across diverse sites: Vietnamese hostess bars, Newfoundland science labs, and Vermont campuses.
Pere-Pau Vázquez is an Assistant Professor in AI for Visual Computing at the Computer Vision Lab, TU Wien, Austria . Previously, he held academic positions at the ViRVIG Group and Facultat d'Informàtica de Barcelona (UPC) , where he taught courses in Programming, Computer Graphics, and Visualization for over 20 years. His research focuses on Information Visualization, Scientific Visualization, Medical Data Visualization, Molecular Visualization, and AI applications to Visual Computing . Current Teaching : Data Visualization, Fast Realistic Rendering, Information Visualization, Medical Images, Scientific Visualization, Virtual Reality, and 3D Medical Visualization. Former PhD Students : Elena Molina, Alexandra Cortez, Jesús Díaz, Pedro Hermosilla, Eva Monclús. His scientific awards include the Best PhD Thesis Award (UPC, 2003), Best Student Paper Award (SPIE, 2012), and Best Paper Award (International Conference on Computer Graphics Theory and Applications, 2013). Recent publications explore AI integration in biomedical visualization, molecular data analysis, and interactive techniques for volume rendering. He serves on the EuroGraphics Executive Board as Secretary and is active in steering committees for EuroVis and Visual Computing for Biology and Medicine . His work bridges Computer Graphics, Artificial Intelligence, and Human-Computer Interaction , with applications in medical and molecular data analysis.
Claire O'Brien is a Senior Lecturer in Computer Animation at Teesside University, affiliated with the Department of Digital Arts and Animation within the School of Computing, Engineering & Digital Technologies. She serves as Course Leader for the MA Animation program and coordinates Animex Screen, the international student film festival linked to the annual Animex event. Her academic journey includes roles at Northumbria University and South Tyneside College before returning to Teesside in 2022. Education: Bachelor of Fine Art (Painting and Printmaking), University of East London, 1997 Post-Graduate Diploma in Arts Management, Northumbria University, 2000 Master of Computer Animation, Teesside University, 2005 Postgraduate Certificate in Teaching and Learning in Higher Education (PgCTLHE), Teesside University, 2024 Fellow of Advance Higher Education (FHEA), awarded November 2024 Claire's research focuses on Animation Studies , Immersive Technologies (AR/VR/MR) for education, healthcare, and industrial training, Full-dome 360 filmmaking , and pedagogical innovation in digital arts. Her recent work explores how animated visualizations in film convey complex information through interfaces like HUDs and holograms, and how animation functions in public and cultural spaces such as cruise ships and heritage exhibitions. Her recent publications from 2023–2024 demonstrate a consistent engagement with animation as a tool for communication, cultural storytelling, and technological critique. Themes include representational vehicles, folklore in digital art, and the integration of generative AI in creative processes, particularly in health awareness contexts like menopause support. Scientific Awards and Recognitions: Fellow of Advance Higher Education (FHEA), 2024 Postgraduate Certificate in Teaching and Learning in Higher Education, Teesside University, 2024 Claire leads the MenopauseXR project funded by Innovate UK (2024–2025), which investigates the use of Generative AI and Extended Reality to support menopause awareness and education. She has no listed formal students, but her role as course leader and lecturer implies significant student mentorship. Her enterprise activity includes participation in the XR Stories XR Accelerator in 2024, focusing on commercializing mobile augmented reality research. Claire is actively involved in Animex , a major animation and games festival, where she coordinates Animex Screen. She also collaborates with cultural institutions such as the National Trust , having contributed animation and prints to the exhibition "Washington: Fact, Fiction and Folklore." Her work bridges academia, creative practice, and public engagement.
Andrew Rau-Chaplin is a Professor and Dean of the Faculty of Computer Science at Dalhousie University, where he leads the Risk Analytics Lab and contributes significantly to research in high performance computing, parallel algorithms, and risk analytics. He is affiliated with the Institute for Big Data Analytics and has a strong academic and administrative presence. Education: Postdoc - DIMCS (Princeton, Rutgers, Bell Labs) PhD - Carleton University (1993) MCS - Carleton University (1990) BCS - York University (1986) His research focuses on applying parallel and high performance computing to data-intensive domains such as data warehousing, OLAP, catastrophe modeling, and risk analytics. He emphasizes both algorithmic design and practical system implementation, with a strong grounding in experimental evaluation. His work spans theoretical studies and real-world applications in finance, bioinformatics, and geospatial systems. The 15 most recent publications reflect a consistent focus on parallel data processing, OLAP optimization, indexing techniques (e.g., Hilbert curves), and risk modeling. Key themes include scalable data cube computation, view selection, adaptive coding, and spatial analytics, demonstrating expertise in both algorithmic innovation and systems-level performance. He has served on numerous scientific committees and grant panels, including NSERC and Compute Canada, and has been a journal editor for JPDC and DMTCS. Dr. Rau-Chaplin has supervised a wide range of graduate students in areas including risk analytics, GPU computing, text analytics, and parallel algorithms. His lab has received funding for postdoctoral, graduate, and undergraduate research positions. He teaches courses such as Parallel Computing, Software Engineering, Data Structures, and Risk Analytics, and has developed software tools like LaHave, Clustal XP, and Digital Coliseum. His lab, the Risk Analytics Lab, focuses on integrating analytics, risk management, and HPC for challenges in catastrophe modeling and financial risk. The lab leverages technologies such as stochastic simulation, optimization, and spatial OLAP.
Samar Sabie is an Assistant Professor at the Institute of Communication, Culture, Information and Technology (ICCIT) at the University of Toronto, where she also serves as Program Director for the Technology, Coding, and Society (TCS) program. She holds a graduate appointment at the Daniels Faculty of Architecture, Design, and Landscape, reflecting her interdisciplinary work bridging technology, design, and social justice. She leads the Open Design Collaboratory, a research space focused on critical and community-centered design practices. Education: Doctor of Philosophy, Department of Information Science, Cornell University/Cornell Tech, 2022 Master of Science, Department of Computer Science, University of Toronto, 2017 Master of Architecture, John H. Daniels Faculty of Architecture, Landscape, and Design, University of Toronto, 2015 Honors Bachelor of Science (Architecture and Computer Science), University of Toronto, 2011 Her research investigates design as a socio-material practice that fosters community adaptive capacity toward sustainable change. Drawing from architecture, software engineering, ethnography, and philosophy, she explores participatory design , unmaking , and design for social justice . Her work critically engages with how communities resist, adapt, and reimagine technology in contexts of displacement, scarcity, and inequality. Her recent publications, appearing in top venues like CHI , CSCW , and DIS , reveal a strong thematic focus on unmaking as a design strategy for emancipation and agonism, mobility justice , e-waste practices , and cultural memory through design. These works collectively emphasize community agency, ethical ambiguity, and the political dimensions of design. Scientific Contributions: Director, Open Design Collaboratory Program Director, Technology, Coding, and Society (TCS) Graduate Faculty, Daniels Faculty of Architecture, Design, and Landscape Current Courses: CCT204 Design Thinking I, CCT477 Understanding Users Samar Sabie actively mentors students and collaborates on research focused on humanitarian technology, critical making, and design education. Her projects often involve community engagement, participatory methods, and interdisciplinary teams. She has collaborated with and advised early-career researchers such as Dina Sabie, Awais Hameed Khan, and Taneea Agrawal on topics ranging from IDP shelter dynamics to mobility justice advocacy. Her research is supported by her deep engagement with socio-technical challenges in marginalized contexts, and she continues to push the boundaries of how design can serve as a tool for equity, care, and resistance. Future work appears to be evolving toward deeper philosophical inquiries into destruction, care, and the limits of technology.
James Lawler is a Professor in the Seidenberg School of Computer Science and Information Systems at Pace University, focusing on Information Technology. He has dedicated his career to advancing Disability Studies and STEM technologies for individuals with developmental and intellectual disabilities (IDD), while also contributing to e-Business strategies and social entrepreneurship. His work bridges technology and inclusivity, with a strong emphasis on community engagement and equity. Education: DPS, School of Computer Science and Information Systems, Pace University (2002) MBA, Graduate School of Business, Pace University (1974) BBA, Business Administration, Saint Francis College (1971) APC in Computer Applications (Audited), New York University (1979) Research Focus: Professor Lawler's research spans Customer Relationship Management (CRM) technologies, service-oriented architecture, and web services. He has pioneered initiatives for neurodiverse students in STEM, developed multisensory environments using virtual reality, and created programs like the Disability Film Festival to promote inclusion. His work often involves partnerships with AHRC New York City and other organizations. Awards: National Jefferson Award for Community Service (2024) Pace University Golden Graduates Reunion 50th Year of Service (2024) SEINFORMS Certificate of Recognition (2021) ISECON Meritorious Paper Award (2013) Grants & Professional Contributions: He has secured multiple grants for projects like the Disability Film Festival, robotics for elderly people with disabilities, and mobile app development for food waste reduction. His professional service includes roles with AHRC NYC, IEEE Education Society, and editorial boards for academic journals. He also teaches courses on design thinking, information systems, and e-commerce strategies.
