جست‌وجوی استاد و پژوهشگر

Cosette Crisanمشاهده پروفایل

دانشیار

• Mathematics Education
• Curriculum Development
• Teacher Education
• +۳ مورد دیگر

Dr Cosette Crisan is an Associate Professor (Teaching) in Mathematics Education at University College London’s IOE, ranked World Number 1 in Education. She specializes in curriculum design, subject-specific mentoring, and integrating digital technologies into mathematics education. Prior to joining UCL IOE in 2010, she taught mathematics at secondary and university levels for 16 years. Her research focuses on enhancing mathematics teaching practices through collaborative mentorship frameworks and technology integration. She co-leads the Curriculum and Subject Specialism Research Group and the ROPE group, driving pedagogical innovation. Notable achievements include the 2021 UCL Faculty Education Team Award for pandemic-era teaching support and leadership roles such as Academic Head of Learning and Teaching (2020–2023). She holds a PhD in Mathematics Education from London South Bank University and is a Principal Fellow of the Higher Education Academy. Current initiatives include developing a Mathematics and Secondary Mathematics Education BSc (QTS) Teacher Degree Apprenticeship program. Her research emphasizes revitalizing geometry education and preparing mentors to effectively guide novice teachers. Publications span topics like computer-aided assessment (STACK), pandemic-era teaching adaptations, and cross-cultural mentorship studies. Dr Crisan’s work bridges theory and practice, advocating for mathematics education as a design science. She actively contributes to the London Mathematical Society’s Education Committee, promoting public engagement with mathematics. Awards include the UCL Faculty Education Team Award (2021) and recognition for her role in transitioning teaching to online platforms during the pandemic. Her teaching portfolio includes leadership of the MA Mathematics Education program and supervision of doctoral candidates. Recent interests include exploring intersections between mathematics and cognitive neuroscience, inspired by her daughter’s career path.

• Mechatronics
• Dynamical Systems and Control
• Functional Printing
• +۴ مورد دیگر

George T.-C. Chiu is a Professor in the School of Mechanical Engineering at Purdue University, with courtesy appointments in Electrical and Computer Engineering and Psychological Sciences. He holds a 50% appointment as Assistant Dean for Global Engineering Programs and Partnerships. Previously, he served as a Program Director at the NSF, managing the Control Systems Program and National Robotics Initiative. His research focuses on mechatronics, dynamical systems, and control, with applications in printing, robotics, and human-machine interaction. Education: PhD (1994), University of California, Berkeley MS (1990), University of California, Berkeley BS (1985), National Taiwan University Research Interests: Functional printing technologies for biomedical and environmental sensors Robotics and human-robot interaction Control systems for manufacturing and dynamic systems Energy-efficient sensor design His work bridges mechanical engineering, materials science, and control theory, addressing challenges in precision manufacturing and sustainable technology. Awards: Fellow, ASME (2021) Fellow, Society for Imaging Science and Technology Grants & Projects: USDA-funded projects on food safety sensors and sustainable agriculture NSF initiatives in robotics and additive manufacturing Collaborative research with industry partners like HP and the Army Labs & Outreach: Founded the Purdue FIRST Programs, mentoring K-12 students in robotics. Co-developed experiential courses for student mentors, fostering leadership and project management skills.

Dennis Kommمشاهده پروفایل

دانشیار

• Algorithm Design and Analysis
• Computer Science Education
• Theoretical Computer Science
• +۳ مورد دیگر

Prof. Dennis Komm is an Associate Professor at ETH Zurich's Department of Computer Science, leading the group for Algorithms and Didactics. He chairs the Center for Computer Science Education (ABZ) and serves on committees such as the Swiss Maturity Board (Schweizerische Maturitätskommission) and the STEM Commission of the Swiss Academies. Previously, he held roles at RWTH Aachen University (Master's, 2008), ETH Zurich (PhD, 2012), University of Zurich (external lecturer, 2014–2020), and PH Graubünden (including department head and professor of 'Fachdidaktik Informatik'). Education: He completed a Master's in Computer Science at RWTH Aachen (2008), a PhD at ETH Zurich (2012), and studies in Information Technology at Queensland University of Technology (2006). His academic journey includes visiting roles at King's College, Stanford, and Comenius University. He has taught extensively across institutions, emphasizing Python and LOGO-based approaches for beginners. Research focuses on algorithm design, approximation algorithms, reoptimization, and advice complexity in theoretical CS. His work in education explores computational thinking, programming pedagogy (especially for K–12), and interdisciplinary approaches (e.g., robotics in math). Recent trends in his articles highlight advancements in online algorithms, optimization under dynamic conditions, and initiatives to integrate CS into Swiss school curricula sustainably. He actively promotes CS education through platforms like WebTigerPython and collaborates on projects such as CyberQuest and MINTerlink. His outreach includes organizing conferences (e.g., STIU 2025) and workshops on programming and cybersecurity for teachers and students. Despite no listed scientific awards, his contributions to education and theoretical CS are recognized through editorial roles in journals like Informatics in Education and contributions to the TigerJython Group. Grant-related advising includes co-supervising doctoral theses on robotics, USOs, and programming didactics. He advocates for equitable educational opportunities via the Passerelle exam and the Swiss Beaver Competition. His team's work spans teacher training, didactic certifications, and bridging university-school collaborations through initiatives like MINTerlink. Labs and teams: Head of ABZ (ETH's CS education center), collaborator with the Computational Robotics Lab, and part of the TigerJython Group. He also co-organizes the Colloquium on Mathematics, Computer Science, and Education with ETH's Mathematics Department.

Rich Nguyenمشاهده پروفایل

استادیار

• Biomedical Image Analysis
• Machine Learning
• Computer Science Education
• +۳ مورد دیگر

N. Rich Nguyen is an Assistant Professor in the Department of Computer Science at the University of Virginia (UVA), where he joined in August 2018. He's part of the School of Engineering and Applied Science and is on a teaching track , focusing on making machine learning accessible and engaging for all students. Research and Innovation: Rich Nguyen's research interests include biomedical image analysis , machine learning , and computer science education . He aims to reinvent instructional activities to make them adaptive and engaging by incorporating art and music elements to help everyone learn coding. Notable research contributions include: Floodwatch : A system for flood monitoring using crowdsourced images TuneScope : A digital music creation tool combining SoundScope and Snaps! technology CAD Library : Open-source design tools for educators AI for early sepsis detection : Highlighted in UVA Today Teaching Accomplishments: Before UVA, Rich taught computer science courses at UNC Charlotte for four years to a total of 1,458 students. At UVA, he teaches several courses including: CS 4774: Machine Learning (multiple semesters) CS 2501: Machine Learning for All (launched in Fall 2021) SYS 6016 / SDS 6050: Deep Learning CS 2150: Data and Program Representation (multiple semesters) CS 6316: Machine Learning (Graduate Level) CS 2910: CS Education Practicum (for Teaching Assistants) He previously taught at UNC Charlotte: ITCS 1600: Computing Professionals ITCS 2600: Computing Professionals for Transfer Students ITCS 4156: Introduction to Machine Learning ITCS 2215: Design and Analysis of Algorithms Academic Achievements: Rich Nguyen has received several notable awards and grants: Google Faculty Award for Machine Learning Education with TensorFlow (2019) Best Paper Award at IEEE BigDataSE (2022) Best Poster Award at SITE Conference (2022) CCI Faculty Innovation Award (2018) NSF grants for Smart and Connected Communities (2022) and Computational Thinking (2021) 3 Cavaliers Grant on Coding and Music (2021) Student Mentorship: Rich has mentored numerous students and teaching assistants who have achieved recognition. Notable students include: Joy Qiu - Published in Clinical Infectious Diseases Louisa Edwards and Zach Boner - Invited to Ken Ono Podcast Mike Ferguson - Winner of CS Louis T. Rader Undergraduate Teaching Award He has also served as faculty advisor for HooHacks (UVA's hackathon) and co-founded CharlotteHack at UNC Charlotte. Labs and Collaborations: Rich Nguyen leads the ML4VA (Machine Learning for Virginia) initiative, engaging students in project-based learning to apply machine learning to real-world problems affecting Virginia communities. He collaborates with institutions for symposiums on smart cities, particularly with ASEAN universities, and has partnered with Premier Healthcare for hackathons and with Glen Bull on educational technology projects.

Teemu Roosمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Data Science
• +۶ مورد دیگر

Teemu Roos is a Professor at the Department of Computer Science , University of Helsinki , and a Principal Investigator for the Complex Systems Computation Group under the Helsinki Institute for Information Technology. He serves as a Supervisor for the Doctoral Programme in Computer Science and leads multiple research initiatives, including Distributed AI in Supercomputing , AI & Kids , and Generation AI . Dr. Roos also holds a Docent title in Computer Science. His research spans Artificial Intelligence , Machine Learning , and Data Science , with a focus on AI education , graph neural networks , Bayesian modeling , and health informatics . He has pioneered tools like Elements of AI , a free online course now translated into 22 EU languages, and explores the ethical implications of AI-generated content in authorship and inventorship. The 15 most recent publications highlight applications in environmental forecasting (e.g., Mediterranean Sea via graph-based deep learning), healthcare (e.g., skin cancer detection with transfer learning), and social media analysis (e.g., explainable AI platforms for K-12 education). Methodologically, his work advances clustering algorithms , dimensionality reduction , and approximate nearest neighbor search . Scientific Awards: Cor Baayen Award (2009) Nokia Foundation Recognition Award (2019) Best Paper Honorable Mention Award (2013) ICT Influencer of the Year 2019 (Vuoden TiVi-vaikuttaja 2019) World Summit AI's Top-50 Innovators in 2020 Dr. Roos has supervised 2 doctoral students and contributed to 163 academic activities , including invited talks at MIT, University of Cambridge, and the Finnish Institute in Rome. He has secured funding from the Academy of Finland and the Strategic Research Council, focusing on projects like Fast AI-assisted Space Environment Prediction and Urban Exerciser .

Yasmin Kafaiمشاهده پروفایل

استاد

• Computational Thinking
• Artificial Intelligence Education
• STEM Equity
• +۳ مورد دیگر

Yasmin Kafai is a Professor at the University of Pennsylvania's Graduate School of Education (GSE), Department of Learning Sciences. Her research focuses on computational thinking, AI education, and equitable K-12 computing pedagogy. She has pioneered work on integrating electronic textiles (e-textiles) and participatory design into STEM education to engage youth in critical perspectives of technology. Kafai's recent work emphasizes algorithmic literacy, youth-led auditing of machine learning systems, and bridging technical and societal dimensions of computing. Key research areas include: computational empowerment, AI ethics in education, youth agency in technology design, and culturally responsive computing curricula. Her projects often involve hands-on making activities, such as constructing generative AI models or debugging e-textile systems, to foster both technical and critical understandings. Publications from 2024-2025 highlight trends in youth engagement with generative AI, algorithm auditing frameworks, and the intersection of physical computing with growth mindset practices. She has also explored the role of storytelling methodologies in reimagining computing narratives for marginalized groups. Kafai collaborates extensively with teachers to develop scalable professional development programs addressing equity in CS education. Her work frequently appears in learning sciences and computing education journals, with a focus on practical classroom implementations and systemic educational reforms. Ongoing efforts include designing 'Hour of Code' activities that integrate critical AI literacy and fostering youth as co-designers of ethical technology solutions.

Yasmin B. Kafaiمشاهده پروفایل

استاد

• Educational Technology
• Computational Thinking
• Electronic Textiles in Education
• +۷ مورد دیگر

Yasmin B. Kafai is the Lori and Michael Milken President's Distinguished Professor at the University of Pennsylvania's Graduate School of Education. Her work focuses on empowering students through computational tools such as Scratch, electronic textiles, and biomaking, aiming to broaden participation in computing and promote equity in STEM education. Affiliations: Editor of the Journal of the Learning Sciences Former President of the International Society of the Learning Sciences Recipient of NSF Early Career Award and Rosenfield Community Prize Her research explores youth engagement with digital media, including gaming, coding, and creative technologies. She co-developed Scratch, a foundational platform for youth programming, and pioneered curricula integrating electronic textiles and biodesign in K-12 education. Key contributions include analyzing the societal impacts of virtual worlds, algorithmic literacy, and culturally responsive pedagogy. Publications & Awards: Author of award-winning books like Connected Gaming and Makeology Contributed to national policy reports, including the 2010 U.S. Department of Education's National Educational Technology Plan Recognized as a Fellow of the American Educational Research Association Her outreach initiatives include mentoring partnerships with the City of Los Angeles and collaborations with community tech centers like the Computer Clubhouse network. Current projects emphasize algorithmic justice, AI literacy, and equity-focused maker education.

Philip Bellمشاهده پروفایل

استاد

• Equity Studies
• Learning Sciences
• Human Development
• +۴ مورد دیگر

Philip Bell is a Professor in the Learning Sciences & Human Development at the University of Washington College of Education . He holds the Shauna C. Larson Endowed Chair in Learning Sciences and serves as Director of the Institute for Science + Math Education . Additionally, he co-directs the LIFE Science of Learning Center , focusing on equity-driven innovation in STEM education. Education : PhD and MEd in Human Development & Cognition, Science/Math Education from UC Berkeley (1998, 1996); BS in Electrical Engineering & Computer Science from University of Colorado Boulder (1989). Bell’s research emphasizes cognitive and cultural approaches to learning across diverse environments, including everyday science expertise , learning technology design , culturally expansive instruction , and large-scale educational reform . His work bridges formal and informal learning contexts , addressing equity through participatory design research. Recent research trends include culturally sustaining pedagogies , climate justice science education , and systemic equity in STEM . His team develops STEM Teaching Tools and collaborates with national networks to improve science standards and instructional coherence. Scientific Awards : Shauna C. Larson Endowed Chair in Learning Sciences. Bell mentors a diverse group of doctoral students and has advised numerous PhD/MEd graduates now in academic and research roles. His projects span K-12 STEM innovation , science communication , and equity-focused policy , including contributions to the Next Generation Science Standards . He leads the Institute for Science + Math Education and collaborates with the Research+Practice Collaboratory , Seattle/Renton school districts, and national teams to scale equitable science education.

• AI Governance
• Privacy and Security
• Responsible AI
• +۸ مورد دیگر

Yang Wang is a Professor of Information Science and Computer Science (courtesy) at the University of Illinois at Urbana-Champaign (UIUC), where he co-directs the SALT lab and is part of the Interactive Computing group and Security and Privacy Research at Illinois (SPR@I). He holds affiliations with the Institute of Software Research (ISR) at UC Irvine and advises Conviva. His research spans AI governance, privacy, security, and inclusive technologies, focusing on marginalized populations such as people with disabilities and non-Western communities. Education: Ph.D. from the University of California, Irvine (UCI), under advisors Dr. Alfred Kobsa, Dr. André van der Hoek, and Dr. Gene Tsudik. Previous roles include Assistant Professor at Syracuse University and Research Scientist at Carnegie Mellon University’s CyLab. He has collaborated with institutions like Alcatel-Lucent Bell Labs, Intel Research, and Tsinghua University. Research interests include AI safety for children (aisafety4kids.org), inclusive privacy mechanisms, accessible authentication for visually impaired users, and policy implications of AI. Notable projects include Inclusive.AI (funded by OpenAI), privacy in smart homes, and drone privacy studies. Awards and grants include NSF SaTC awards, NSF CAREER, and industry partnerships with Meta/Facebook, Google, and OpenAI. His work has been featured in outlets like the New York Times and Wall Street Journal. Current PhD advisees include Smirity Kaushik and Yaman Yu, with notable alumni such as Dr. Yaxing Yao (now at Johns Hopkins) and Dr. Tanusree Sharma (Penn State). Labs/Teams: Co-director of the SALT lab, part of SPR@I and the Interactive Computing group at UIUC. Collaborates with industry and policy bodies, including the FTC.

Oliver Schmitzمشاهده پروفایل

استاد

• Plasma Edge Physics
• Plasma Wall Interaction
• Three-Dimensional Plasma Edge Transport
• +۶ مورد دیگر

Oliver Schmitz is a Professor in the Department of Nuclear Engineering & Engineering Physics at the University of Wisconsin-Madison, where he leads research in plasma edge physics for magnetic confinement fusion and next-generation particle accelerators. His work bridges experimental plasma science, computational modeling, and diagnostic development with applications in both tokamaks and stellarators. Education: PhD (2006), Heinrich-Heine-Universität Diploma (2003), Rheinische Friedrich-Wilhelms-Universität Professor Schmitz's research focuses on 3D plasma edge transport phenomena, plasma-wall interactions, and helicon plasma generation for wakefield accelerators. His group employs advanced computational tools like EMC3-EIRENE for 3D plasma edge modeling and develops active spectroscopic diagnostics to measure plasma parameters through atomic emission analysis. Key themes include resonant magnetic perturbation effects in tokamaks, inherent 3D physics in stellarators, and high-density plasma sustainment for accelerator applications. He actively develops atomic models to interpret spectroscopic data and operates helicon plasma test stands for fundamental process studies. Recent publications reveal strong emphasis on experimental-computational integration for fusion boundary physics, with significant contributions to ITER divertor solutions, stellarator exhaust optimization, and plasma-facing materials. The work shows growing focus on wakefield accelerator diagnostics through helicon plasma sources and advanced spectroscopy, alongside persistent innovation in 3D modeling of plasma-material interfaces. Scientific Awards: 2020 Thomas and Suzanne Werner Chair Professorship 2018 UW Madison Teaching Academy Fellow 2017 ITER Science Fellowship & Vilas Mid-Career Award 2015 DOE Early Career Award & NSF CAREER Award 2011 Torkil Jensen Award (General Atomics) 2007 Günther-Leibfried-Preis (Jülich) Professor Schmitz directs multiple DOE/NSF-funded research programs including his UW Madison laboratory and AWAKE project contributions at CERN. He mentors graduate students through NE 890/990 thesis research courses and has developed nationally recognized K-12 outreach including the "Plasma Show" for elementary schools and "Plasma Academy" for high-school educators developing AP Physics curriculum modules. His leadership extends to university governance through the Kaufman seminar on academic leadership. His research group operates helicon plasma test stands and computational facilities for EMC3-EIRENE simulations, with current efforts focused on high-density plasma sources for accelerators and resilient divertor solutions for stellarators. The group maintains strong international collaborations with ITER, CERN, and major fusion facilities worldwide.

Ari Schlesingerمشاهده پروفایل

استادیار

• Human-Centered Computing
• Anti-Discriminatory Computing
• Technology Policy
• +۴ مورد دیگر

Ari Schlesinger is an Assistant Professor of Computer Science at the University of Georgia (UGA), directing the Socially Responsible Tech Lab. She holds a PhD from the School of Interactive Computing at Georgia Institute of Technology. Her research focuses on anti-discriminatory computing, technology policy, and equitable sociotechnical systems. She advocates for reducing computing-enabled harm to advance justice in technology. Education : PhD in Human-Centered Computing (HCC), Georgia Tech Affiliations : ACM's U.S. Technology Policy Committee Her work spans Human-Computer Interaction (HCI), Artificial Intelligence (AI), and broader CS applications. Key interests include addressing algorithmic bias, inclusive design, and policy frameworks for ethical computing. She has developed strategies to mitigate discrimination in technical systems through frameworks like anti-discriminatory computing. Awards include the 2021 Outstanding Graduate Teaching Assistant Award and a Best Paper Award at CHI 2018. Her research has been featured in venues like CSCW and CHI, focusing on topics from chatbot ethics to decentralized social networks. Lab : Socially Responsible Tech Lab at UGA Grants/Advising : Advises graduate student Eddie Alexander Gomez Schieber. Active in policy advocacy and academic leadership roles.

Libby Gerardمشاهده پروفایل

دانشیار مدعو

• Science Education
• Educational Technology
• Natural Language Processing
• +۳ مورد دیگر

Libby Gerard is an Associate Adjunct Research Professor at the University of California, Berkeley School of Education and a Research Director for the Technology-Enhanced Learning in Science (TELS) Center. Her work focuses on leveraging innovative technologies to enhance science education through student idea capture, automated assessment, and teacher professional development. Doctorate in Educational Leadership (EdD), Mills College (2008) Bachelor’s in English Literature and Philosophy, Emory University (2000) Her research emphasizes: Automated scoring of student essays using NLP to improve science explanations Real-time instructional customization using embedded assessment data Technology-driven professional development for teachers and principals Social justice integration in science pedagogy Collaborative revision frameworks for inquiry-based learning K-12 education adaptation during the pandemic Recent publications highlight trends in educational technology for science learning, with a focus on NLP applications, interactive inquiry modules, and equitable teaching practices. She has authored studies in journals like Science , Review of Educational Research , and Computers & Education , often exploring how automated systems can enhance teacher-student dynamics. Scientific Awards : Best Paper Award at the AI4EDU Workshop (AAAI Conference, 2020) Libby leads funded projects such as: TIPS (NSF, 2021-2025): NLP for science education ARISE (Hewlett Foundation, 2020-2023): Anti-racism in science education STRIDES (NSF, 2018-2022): Responsive instruction for science teachers PLANS (NSF, 2015-2020): Automated learning support systems She contributes to teacher training through courses like Research Methods for Science Teachers and Apprentice Teaching in Science , emphasizing data-driven pedagogy and inquiry-based instruction.

Daniel E. Koditschekمشاهده پروفایل

استاد

• Dynamical Systems and Control
• Hybrid Control Systems
• Legged Locomotion
• +۷ مورد دیگر

Daniel E. Koditschek is the Alfred Fitler Moore Professor in the Department of Computer and Information Science at the University of Pennsylvania’s School of Engineering and Applied Science. He also holds primary appointments in the Department of Electrical and Systems Engineering and a research affiliation with the Department of Mechanical Engineering and Applied Mechanics. He is a leading figure in the GRASP Lab, where he leads the Kod*lab, a specialized group focused on physical interaction and locomotion in autonomous robots. His research lies at the intersection of dynamical systems theory and robotics, emphasizing legged locomotion, hybrid control systems, and bio-inspired design. Koditschek's work integrates formal mathematical modeling with empirical testing of physical robots that run, jump, climb, and manipulate objects. He actively explores how biological insights into animal mobility can inform robotic autonomy and control. His group maintains strong collaborations with biologists and emphasizes embodied intelligence in machine behavior. The recent publications reflect a strong trend in applying theoretical control frameworks—such as hybrid dynamical systems, averaging methods, and navigation functions—to practical robotic challenges in unstructured environments. Topics include terrain adaptation, energy-efficient locomotion, reactive planning, and affordance-based interaction. There is a clear focus on bridging abstract mathematical models with real-world robotic performance, particularly in legged and mobile manipulation systems. IEEE RAS Pioneer Award Heilmeier Research Award AFOSR MURI Award (2010) Daniel Koditschek has advised numerous PhD students and postdoctoral researchers, many of whom now hold faculty positions or leadership roles in robotics companies like Ghost Robotics and Boston Dynamics. His research is supported by major grants from the NSF and AFOSR, including the MURI award and REU/RET programs that engage K-12 and undergraduate educators. He has also been involved in international outreach, including activities at the Penn Wharton China Center. Koditschek leads the Kod*lab within the GRASP Lab’s PERCH facility, which houses advanced legged robots such as the Ghost Minitaur, XRHhex, Inu, Delta Hopper, and Jerboa platforms. The lab emphasizes experimental validation of control theories using custom hardware and real-world terrain challenges.

Chanchal K. Royمشاهده پروفایل

استاد

• Code Clone Detection and Analysis
• Software Evolution and Maintenance
• Software Analytics Research
• +۳ مورد دیگر

Chanchal K. Roy is Professor of Software Engineering/Computer Science at the University of Saskatchewan and Co-Director of the Software Research Lab. He leads an NSERC CREATE graduate program on Software Analytics Research and co-leads the Data Management group for an NSERC CFREF project on Food Security, with over 170 publications cited 6,000+ times. His research centers on software clone detection using the widely adopted NICAD system, software evolution, empirical studies, and AI-driven software analytics. Recent work integrates large language models for code generation, clone detection in the AI era, and developer interactions with tools like ChatGPT, emphasizing practical applications in maintenance and analytics. Analysis of his 15 most recent publications reveals a strong trend toward AI/ML integration in software engineering: 12 of 15 articles (2025) explore LLMs, quantum computing, or deep learning for tasks like bug localization, code snippet generation, and feature-toggle analysis. Key themes include empirical validation of AI tools, Stack Overflow data mining, and cross-domain frameworks for Society 5.0. His scientific awards include: Most Influential Paper Awards (SANER 2018, ICPC 2018) Outstanding Young Computer Science Researcher Award (CS-Can/Info-Can, 2018) New Researcher Award (University of Saskatchewan, 2019) New Scientist Research Award (College of Arts and Science, 2019) As lead of the NSERC CREATE program and CFREF data group, he mentors graduate students in software analytics while securing major grants. He actively serves on program committees for ASE, ICSE, and FSE, reviewing journals and organizing workshops on clone detection and empirical methods. His lab focuses on real-world applications in food security data management and software evolution. The Software Research Lab, co-directed by Roy, drives projects like NICAD and the NSERC CREATE initiative, emphasizing open-source contributions and industry collaboration. Current efforts include quantum-SE integration and AI-augmented maintenance tools under the CFREF food security mandate.

Sajedul Talukderمشاهده پروفایل

استادیار

• Cybersecurity
• Privacy-Preserving Technologies
• Machine Learning
• +۵ مورد دیگر

Dr. Sajedul Talukder is an Assistant Professor in the Department of Computer Science at The University of Texas at El Paso (UTEP), directing the SUPREME Lab. He holds a Ph.D. in Computer Science from Florida International University (2019) and has held prior faculty positions at Southern Illinois University (2021-2024) and Pennsylvania Western University (2019-2021). Education: Ph.D. in Computer Science, Florida International University (2019) M.S. in Computer Science, Florida International University (2018) B.S. in Computer Science and Engineering, Bangladesh University of Engineering and Technology (2014) Research Interests: Focuses on cybersecurity, privacy-enhanced machine learning, and AI-driven solutions for social good. Key areas include: Security and privacy in online systems Abuse detection in social networks Quantum security and distributed systems Federated learning for healthcare and industrial IoT His work emphasizes practical applications like AI for nuclear plant cybersecurity and mitigating sockpuppet attacks. Recent Article Trends: Recent publications highlight advancements in federated learning frameworks (e.g., SAFARI, FLASH), context-aware emotion detection (CAMERA), and AI-driven nuclear facility security (ContextGPT, AML-TIN). These contributions address privacy, scalability, and real-time threat monitoring. Awards & Grants: $500K NRC grant (2024) for AI-driven nuclear plant cybersecurity NSF CISE CRII Award ($157K) for sockpuppet defense IMEC/NIST grant ($99K) for industrial IoT security Best Paper Awards (ICEEICT 2014, ACM SAC 2022) Advising & Labs: Mentored over 40 students (K-12 to Ph.D.), including 2 recent M.S. graduates. Leads SUPREME Lab and affiliated with UTEP AI Institute and NSF IDEAS Center. Active in program committees for ASONAM, ICWSM, and CHI.