Abraham Silberschatz is the Sidney J. Weinberg Professor of Computer Science at Yale University. He previously served as Vice President of the Information Sciences Research Center at Bell Laboratories and held a chaired professorship at the University of Texas at Austin. His research focuses on database systems, operating systems, and network management. Silberschatz has advised over a dozen PhD students, many now in academia and industry. Education: Ph.D., Computer Science, Stony Brook University (SUNY) Research Interests: His work spans database systems, operating systems, storage systems, and network management. Notable contributions include foundational textbooks like Operating System Concepts and Database System Concepts , which have become industry standards. He has also developed innovative systems like DataPlay and contributed to projects such as NetInventory. Publications: His 15+ years of research include influential papers on database architecture, network routing, and distributed systems. Recent work explores leveraging non-volatile memory technologies in systems design. Awards: ACM Karl V. Karlstrom Outstanding Educator Award (1998) IEEE Taylor L. Booth Education Award (2002) VLDB Test of Time Award (2019) Multiple Bell Laboratories President's Awards for innovation Grants & Patents: Recipient of over two dozen grants and over four dozen patents, including foundational IP in multimedia storage and distributed systems. His team's HadoopDB project merged MapReduce and DBMS technologies. Labs/Teams: Collaborates with Prof. Robert Soulé on projects in database systems and networking, focusing on next-gen memory technologies. Active in mentoring graduate students and postdocs in their research group.
Chen Sun is an Assistant Professor of Computer Science at Brown University and a part-time Staff Research Scientist at Google DeepMind . His research bridges computer vision, machine learning, and artificial intelligence , focusing on multimodal representation learning, visual commonsense, and controllable video generation . He directs the PALM🌴 research lab , which explores scalable models for robotic planning, video understanding, and human activity recognition . Chen Sun earned a Ph.D. in Computer Science from the University of Southern California (2016) , advised by Professor Ram Nevatia , and a Bachelor of Science in Computer Science from Tsinghua University (2011) . His lab's work has been supported by Adobe, Honda, Meta, NASA, and Samsung , and he is affiliated with the NSF AI Research Institute on Interaction for AI Assistants . His research spans multimodal transformers, embodied agents, and physics-informed video generation . Key trends include Learning from unlabeled videos for human activity recognition Developing controllable generation techniques using motion trajectories and physics-based signals Advancing scalable frameworks for video-language tasks Scientific awards include the Brown University Richard B. Salomon Faculty Research Award and Samsung Global Research Outreach Award . He has served as Workshop Chair (CVPR 2025) , Action Editor (TMLR) , and Area Chair for top conferences like ICLR, CVPR, and NeurIPS . Chen Sun mentors a dynamic team including Ph.D. students Apoorv Khandelwal (Presidential Fellow) Calvin Luo (Research Mobility Fellow) Nate Gillman (Math Department) Shijie Wang Tian Yun (co-advised with Ellie Pavlick) Yuan Zang Zilai Zeng Zitian Tang and alumni now pursuing Ph.D. programs at Princeton, Cornell, UBC, and UNC . His teaching portfolio includes graduate-level courses on Deep Learning (CSCI 2470) , Advanced Topics in Deep Learning (CSCI 2952N) , and a short course on Multimodal Transformers at ICASSP 2022 and AAAI 2023 .
Dr. Wanju Huang is a Clinical Assistant Professor in the Learning Design and Technology program at Purdue University , where she focuses on enhancing online learning experiences through innovative instructional design and emerging technologies. Prior to joining Purdue in Fall 2016, she served as an instructional design manager at Teaching and Learning Technologies and spent six years as a lecturer and instructional designer at Eastern Kentucky University. Education: Ph.D. in Curriculum & Instruction (Technology concentration) from University of Illinois at Urbana-Champaign Her research interests center on technology-mediated online communities, instructor presence in digital learning, augmented reality applications, and faculty development programs. She has published extensively on these topics, including studies on multimedia interventions for teaching presence, immersive technologies in ESL education, and adaptive cyber training platforms. Dr. Huang's publications reflect a strong focus on EdTech innovation , with trends spanning AI integration in K-12 , model-based systems engineering , and microlearning strategies . Her work bridges theoretical frameworks like social constructivism with practical implementations in professional education. Professional memberships include the American Educational Research Association, Association for Educational Communications and Technology, and Quality Matters. She teaches courses on learning design foundations, e-learning systems, and professional competency demonstrations in LDT.
Professor David Taubman is a distinguished academic serving as Professor and Deputy Head of School (Research) at the School of Electrical Engineering and Telecommunications (EE&T) at the University of New South Wales (UNSW) in Sydney, Australia. He is also co-director of Kakadu Software Pty. Ltd. and its affiliates Kakadu R&D and Kakadu GPU. With a career spanning over three decades, Professor Taubman has made significant contributions to the field of image and video compression, most notably as the author of the EBCOT coding algorithm adopted in the JPEG2000 international standard. Professor Taubman earned his B.Sc. in Mathematics and Computer Science (1986) and B.E. (Medal) in Electrical Engineering (1988) from the University of Sydney, followed by an M.Sc. (1992) and Ph.D. (1994) in Electrical Engineering from the University of California at Berkeley. His professional journey includes engineering work at the Electricity Commission of N.S.W. (1988-1990), research positions at Hewlett-Packard Laboratories in Palo Alto (1994-1998), and an academic career at UNSW where he progressed from Senior Lecturer (1998-2003) to Associate Professor (2004-2009) and finally to Professor (2009-present). He has held various leadership roles including Head of the EE&T Telecommunications Research Group (2003-2014), Head of the EE&T Signal Processing Research Group (2014-present), Director of Research for the School of EE&T (2011-2016), and Deputy Head of School (Research) since 2017. Professor Taubman's research interests center on image and video compression, with particular expertise in JPEG2000 standards and implementations. His work spans signal processing, wavelet transforms, scalable video coding, motion modeling, and multimedia systems. He has pioneered numerous compression algorithms and frameworks, including the EBCOT coding algorithm that became central to the JPEG2000 standard. His recent research focuses on efficient motion modeling with cuboidal partitioning, learned lifting-based transform structures, and high-throughput implementations of JPEG2000 for video applications. His work bridges theoretical foundations with practical implementations, as evidenced by the commercially successful Kakadu Software tools that have garnered around 500 commercial licensees. Analysis of Professor Taubman's recent publications reveals a consistent focus on advancing compression technologies with particular emphasis on scalability, efficiency, and adaptability. His work spans traditional image compression (JPEG2000 extensions), video coding (cuboid-based partitioning for UHD/360-degree video), and emerging applications (nanopore sequencing data compression). A notable trend is the integration of machine learning techniques with traditional compression frameworks, as seen in his work on learned lifting-based transform structures. His research maintains strong connections to real-world applications across diverse domains including medical imaging, astronomical data processing, and genomic sequencing. IEEE Fellow Engineers Australia Fellow (by invitation) Professor Taubman has served as Associate Editor for the IEEE Transactions on Image Processing for two four-year appointments (2003-2005 and 2010-2013). He has been actively involved in numerous research grants focused on image and video compression technologies, particularly those related to the JPEG2000 standard and its extensions. His work has received significant industry support, reflected in his consultancy with various U.S., Japanese, and Australian corporations. He has also contributed to international standards development as a member of Standards Australia Technical Committee MS-065 (mirroring ISO TC42 on Digital Photography) and as a constitutional member of Standards Australia Technical Committee IT-029 (Coded Representation of Picture, Audio and Multimedia/Hypermedia Information). Professor Taubman co-directs Kakadu Software Pty. Ltd. and its research affiliates Kakadu R&D and Kakadu GPU, which have developed the commercially successful Kakadu Software tools for JPEG2000. His research group at UNSW focuses on advanced image and video compression techniques, with particular expertise in wavelet-based methods, scalable coding, and motion modeling. The group maintains strong industry connections and has contributed significantly to the development and standardization of image compression technologies worldwide.
Can Güler is an Assistant Professor in the Department of Lifelong Learning and Adult Education at the Faculty of Education, Anadolu University, Turkey. Previously, from 2002 to 2023, he served as a Lecturer in the Department of Distance Education at the Faculty of Open Education, Anadolu University. His academic career spans over two decades with continuous contributions to open and distance education systems. His educational background includes: Bachelor's degree in Computer and Instructional Technologies Education, Anadolu University (2002) Master's degree in Distance Education, Institute of Social Sciences, Anadolu University (2007) Ph.D. in Distance Education, Institute of Social Sciences, Anadolu University (2022) Güler's research centers on open and distance learning methodologies, educational technology integration, and instructional material development. He specializes in video-based learning systems, interactive media design, and gamification strategies for enhancing learner engagement. His work addresses practical challenges in digital content creation and accessibility for diverse learner demographics, particularly adult populations. Analysis of his publication trajectory reveals consistent innovation in multimedia applications for distance education, with recent emphasis on generative AI awareness among educators and interactive video transformation techniques. His research frequently employs design-based methodologies and institutional case studies from Anadolu University's open education infrastructure. Scientific Awards: None mentioned in available sources. Advising and Grants: No information provided regarding student supervision or research funding in current documentation.
Brendan Dolan-Gavitt is an Associate Professor in the Computer Science and Engineering Department at NYU Tandon School of Engineering and part of the NYU Center for Cybersecurity (CCS). He holds a Ph.D. in Computer Science from Georgia Tech (2014) and a BA in Math and Computer Science from Wesleyan University (2006). His research spans cybersecurity, program analysis, virtualization security, memory forensics, and embedded/cyber-physical systems, focusing on automating the understanding of large software systems to develop novel defenses. Research interests include developing techniques for static and dynamic analyses of real-world software to reveal hidden design assumptions. His work has been presented at top security conferences like USENIX Security, ACM CCS, and IEEE Security & Privacy. He led the development of the open-source PANDA platform for dynamic analysis. His publications primarily focus on AI-driven security solutions, vulnerability discovery, and automated testing tools. Recent work explores LLMs in offensive security, fuzzing enhancements, and secure code generation, emphasizing practical applications in cybersecurity. Scientific Awards: NSF CAREER Award for improving software vulnerability testing and education He leads the OSIRIS Lab, a student-run cybersecurity group, and collaborates on interdisciplinary projects addressing emerging security challenges through grants and industry partnerships.
Jasper Brinkerink is a Lecturer in Entrepreneurship and Innovation at the University of Edinburgh Business School. He also holds a research affiliation with the Centre for Family Business Management at the Free University of Bozen-Bolzano. His work focuses on entrepreneurial decision-making in family firms, new ventures, and privately-owned businesses. Lecturer at University of Edinburgh Research Affiliate at Free University of Bozen-Bolzano Teaching experience at Maastricht University Research Interests : Family business sustainability across generations Entrepreneurial capital in family firm contexts Research credibility and methodological practices Innovation and sustainability in SMEs Publication Trends : His work spans family business dynamics (2016-2024), research integrity (2021-2022), and sustainability in SMEs (2024). Key subfields include identity elasticity, P-hacking, absorptive capacity, and institutional reliance. Teaching Responsibilities : Course Organizer for "Doing Research for Business" (CMSE11538) Course Organizer for "Family Business Management" (CMSE11579) Course Organizer for "The Entrepreneurial Manager" (BUST10115) Research seminar organizer for Entrepreneurship and Innovation group
Cheung Ngai-Man is an Associate Professor and Associate Head of Pillar (Education) at Singapore University of Technology and Design (SUTD), part of the Information Systems Technology and Design (ISTD) pillar. He holds a Ph.D. in Electrical Engineering from the University of Southern California (2008) and has held research positions at Stanford University, Texas Instruments, IBM, and others. His research focuses on image and signal processing, computer vision, machine learning, and artificial intelligence. Education: Ph.D., Electrical Engineering, University of Southern California (2008); Postdoctoral research at Stanford University (2009–2011). Research Interests: Develops algorithms for multimedia data processing, explores interdisciplinary applications of signal processing and AI, and addresses challenges in computer vision and generative models. Recent work includes fairness in generative models, few-shot image generation, and adversarial robustness. Publications: Over 100+ peer-reviewed papers in top venues (CVPR, NeurIPS, IEEE TIP, TPAMI) focusing on computer vision, generative models, and AI security. Notable 2023 work includes studies on label-only model inversion attacks and fairness metrics in generative systems. Awards: Best Paper Finalist (CVPR 2019), SAIL Award Finalist (WAIC 2019), Outstanding Associate Editor (IEEE T-MM), Croucher Foundation Fellowship. Students: Supervised postdocs (Hossein Nejati, Fang Lu), research assistants (Mohammad Rostami), and visiting students (Ma Rui). Labs/Teams: Leads research groups in AI, computer vision, and multimedia systems at SUTD. Has spun off AI initiatives for wound care and contributed to Singapore’s National AI Strategy.
Sophie McCall is a Professor in the Department of English at Simon Fraser University (SFU), specializing in Indigenous literatures. Her research focuses on decolonization, resurgence, and the ethics of collaborative authorship, particularly examining how Indigenous writers challenge settler colonialism through storytelling. She holds a BA from Queen’s University, an MA from UBC, and a PhD from York University. McCall is the author of First Person Plural: Aboriginal Storytelling and the Ethics of Collaborative Authorship (2011), which received critical acclaim, and editor of foundational texts like Devil in Deerskins: My Life with Grey Owl (2014). She co-edits Read, Listen, Tell: Indigenous Stories from Turtle Island (2017) and directs SFU’s Masters of Arts for Teachers of English (MATE) program. Her work bridges literary criticism and activism, addressing residential school narratives, Indigenous-Black solidarity, and the politics of reconciliation. She co-chairs the Indigenous Voices Awards and leads SSHRC-funded projects exploring Indigenous-led literary collaborations. Key themes in her scholarship include textualizing orality, ethical representation, and multidisciplinary Indigenous arts. Awards: Gabrielle Roy Prize finalist (2011), Canada Prize finalist (2011) Projects: SSHRC-funded collaboration with NunatuKavut scholar Kristina Bidwell Roles: Director of MATE, Co-chair Indigenous Voices Awards McCall’s publications span scholarly articles, edited collections, and anthologies, emphasizing Indigenous agency in storytelling. Her teaching and research prioritize decolonizing methodologies and amplifying Indigenous voices across disciplines.
Prof María Noriega-Sánchez is Professor of Spanish and Translation Studies at the University of Cambridge, Faculty of Modern and Medieval Languages and Linguistics, and a Fellow and Director of Studies in Modern and Medieval Languages at Sidney Sussex College. She has been teaching at Cambridge since 2008, specializing in Spanish language instruction from ab initio to advanced levels, translation studies, and contemporary Hispanic culture. Her research centers on innovative approaches to language pedagogy, particularly the role of translation as the 'fifth skill' in language acquisition. Prof Noriega-Sánchez has pioneered methods that integrate translation into language learning processes, challenging traditional approaches that often exclude translation from foreign language teaching. Her work explores how new technologies can enhance collaborative learning environments and develop effective language teaching materials. Prof Noriega-Sánchez's scholarly output reveals significant trends in translation pedagogy and multimodal communication. Her publications demonstrate a consistent exploration of how translation functions as both a teaching methodology and cognitive process in language acquisition. She has been instrumental in establishing translation as an essential component of language learning, bridging theoretical insights with practical classroom applications. Highly Commended in the Innovative Teaching category of the Cambridge SU Student-Led Teaching Awards (May 2023) As Director of Studies at Sidney Sussex College since 2009 and former Undergraduate Tutor (2015-2020), Prof Noriega-Sánchez has guided numerous students through their academic journeys. She has developed innovative Spanish language curricula at Cambridge, created interactive teaching materials for the Open University, and contributed to the 'Spanish at Your Fingertips' project developed by the University of Cambridge Language Centre in partnership with BBC Worldwide. Prof Noriega-Sánchez co-founded the Cambridge Conversations in Translation research group at CRASSH (2015-2018) and serves as Co-Convener of the Cambridge Translation Studies Network. Her collaborative work with Ángeles Carreres and other scholars has significantly influenced translation pedagogy both nationally and internationally, establishing her as a leading voice in the field of language education and translation studies.
Rich Etchberger is a Professor in the Department of Wildland Resources at Utah State University's S.J. & Jessie E. Quinney College of Natural Resources, Uintah Basin campus. He founded the wildlife science program in 1995 and pioneered hands-on education in Utah's energy development corridor, earning the 2015 Carnegie U.S. Professor of the Year award for Utah. His educational background includes a Bachelor's in Ecology from Unity College (Maine), and Master's/Doctorate in Wildlife Ecology from the University of Arizona. Teaching methodology integrates classroom theory with fieldwork through partnerships with the Bureau of Land Management and U.S. Forest Service, exemplified by black-footed ferret reintroduction projects in Pariette Wetlands. Etchberger revolutionized accessibility through eLearning, creating USU's first general education online course (USU 1350 Integrated Life Science) in 2002. His flipped classroom model and multimedia-rich instruction consistently rank among USU's highest student evaluations across all delivery formats. His scientific awards include: 2015 Carnegie Professor of the Year for Utah 2014 Undergraduate Research Mentor of the Year (College of Natural Resources) 2011 Professor of the Year (USU-Uintah Basin) Securing 65 grants totaling $2.4M, Etchberger mentored 300+ undergraduates in paid internships, resulting in peer-reviewed publications and 26 professional conference presentations. His program achieves 100% alumni career/grad school placement, with graduates dominating Bureau of Land Management roles in the Uintah Basin. He maintains critical partnerships with natural resource agencies through an 18-year internship agreement, directly linking student training to Basin environmental management and economic development. His community-focused approach ensures scientific training addresses local energy development challenges while preserving ecological health.
George Kesidis is a Professor in Computer Science and Engineering and Electrical Engineering at Penn State University. His research spans deep learning security, virtual reality optimization, and cloud computing. College of Engineering (Penn State University) Research Focus: Backdoor Attacks, DNN Robustness, Edge Caching Active in NSF and U.S. Navy-funded projects (2022-2026) His work addresses backdoor data poisoning , test-time evasion attacks , and DNN overfitting mitigation . He develops techniques like activation clipping, perturbation analysis, and statistical defense models. Recent projects include edge caching systems for VR and security-driven AI frameworks. Key article trends reveal expertise in adversarial deep learning, immersive media delivery, and cloud resource optimization. Current grants focus on multi-user VR, GPU scheduling, and serverless-cloud hybrid architectures. He collaborates extensively with researchers like David J. Miller and Xinyu Li, particularly on cloud-based adversarial defense mechanisms and VR streaming benchmarks.
Rui Duan is an Assistant Professor in the Department of Computer Science and Information Technology at the University of Missouri-Kansas City (UMKC), within the School of Science and Engineering. He leads the SAIM Lab (Secure AI & Intelligent Media), focusing on trustworthy and human-centered multimedia AI. Research Interests: His research lies at the intersection of AI Security, Machine Learning, and Human-Computer Interaction. He investigates adversarial audio attacks in real-world applications, their human impact, and mitigation strategies. His work extends to Network Security, Internet of Things (IoT), and Federated Learning, aiming to build robust and secure AI systems. Publication Trends: His recent publications demonstrate a strong focus on adversarial attacks in multimedia systems, particularly targeting audio and music copyright detection, speaker recognition, and federated learning frameworks. These works are published in top-tier venues like IEEE S&P, NDSS, ACM CCS, CVPR, and ICML, reflecting high impact in both security and machine learning domains. Scientific Awards: Student Travel Grant from IEEE S&P 2024 Student Travel Grant from ACM CCS 2022 Advising and Grants: Dr. Duan is actively recruiting self-motivated Ph.D. students interested in trustworthy ML & AI, IoT design, and human-computer interaction. While specific grants are not listed, his publication record and lab activities suggest active research funding, particularly in AI security and trustworthy systems. Labs and Teams: He leads the SAIM Lab (Secure AI & Intelligent Media) at UMKC, which focuses on developing secure and intelligent multimedia AI technologies. The lab is actively engaged in cutting-edge research on adversarial attacks, federated learning, and IoT security.
Jon Crowcroft is the Marconi Professor of Communications Systems in the Department of Computer Science and Technology at the University of Cambridge, and serves as the Chair of the Programme Committee at the Alan Turing Institute. He is also a Fellow of Wolfson College, Cambridge, and a visiting professor at the Department of Computing at Imperial College London. With a career spanning over three decades in computer networking research, Professor Crowcroft has made seminal contributions to the development of the Internet and continues to be highly active in cutting-edge research areas. His educational background includes: BA in Physics from Trinity College, University of Cambridge (1979) MSc in Computing from University College London (1981) PhD from University College London (1993) Professor Crowcroft's research spans multiple domains in computer networking and distributed systems. He has worked in Internet support for multimedia communications for over 30 years, with three main focus areas: scalable multicast routing, practical approaches to traffic management, and the design of deployable end-to-end protocols. His current research focuses on opportunistic communications, social networks, and techniques to scale infrastructure-free mobile systems. He is particularly known for his 'build and learn' paradigm for research and has recently been exploring decentralized digital identification systems, smart cities, and edge computing. His work often bridges theoretical foundations with practical implementations, emphasizing privacy-preserving approaches and sustainable network architectures. Professor Crowcroft has received numerous prestigious awards recognizing his contributions to the field, including: Election as Fellow of the Royal Society (2013) ACM SIGCOMM Award (2009) ACM Fellow (2002) Fellow of the Royal Academy of Engineering IEEE Fellow (2004) Chartered Fellow of the British Computer Society Throughout his career, Professor Crowcroft has advised numerous PhD students, including Mark Handley and Pan Hui, who have themselves become influential researchers in the networking community. He has authored several influential books that have been adopted internationally in academic courses, such as 'TCP/IP & Linux Protocol Implementation,' 'Internetworking Multimedia,' and 'Open Distributed Systems.' His research has been supported by various grants and collaborations with both academic institutions and industry partners, contributing to successful startup projects and influencing Internet standards. Professor Crowcroft is actively involved in several research initiatives, including serving on the Scientific Council of IMDEA Networks Institute since 2007 and the advisory board of the Max Planck Institute for Software Systems. He is also a director of the Matrix Foundation, which develops open network protocols. His current research group focuses on privacy-preserving analytics, decentralized systems, and the future of Internet architecture.
Laura Meyers is a Clinical Professor in the College of Education & Human Development (CEHD) at Georgia State University, serving as Program Coordinator for the Master of Arts in Creative and Innovative Education (MACIE). She holds a Ph.D. in Curriculum and Instruction from Purdue University, an M.A. in Children’s Literature from Hollins University, and a B.S. in Elementary Education from Presbyterian College. Her work focuses on arts-infused instruction, social justice education, and cross-cultural learning. Dr. Meyers integrates dramatic and visual arts to address social justice issues like racism, gun violence, and mental health through collaborations with Atlanta-based artists. She created the Tiles for Social Justice curriculum and leads study abroad programs in China and Mexico. Notable accolades include the 2023 GSU Instructional Innovation Award and the 2020 George M. Sparks Award. Her teaching spans introductory courses (e.g., PERS 2001, ECE 3385) and innovative graduate courses like Art as Activism and (Re)centering Well-being. She actively contributes to academic and artistic communities through films, theatre productions, and international recognitions such as her Honorary Teacher title from Sichuan Normal University (2015).
