Multi-channel heart-beat detection. - Narges Norouzi; Parham Aarabi (GlobalSIP, 2013)

Time-frequency visualization of alcohol withdrawal tremors. - Sally Carver; Narges Norouzi; Simon Bromberg; Sara Gray; Mel Kahan; Parham Aarabi; Bjug Borgundvaag (EMBC, 2014)

A quantitative evaluation of alcohol withdrawal tremors. - Parham Aarabi; Narges Norouzi; Taylor Dear; Sally Carver; Simon Bromberg; Sara Gray; Mel Kahan; Bjug Borgundvaag (EMBC, 2015)

7 surprising lessons learned from teaching iOS programming to 30, 000+ MOOC students. - Parham Aarabi; Narges Norouzi; Jack Wu; Michael Spears (FIE, 2016)

Empirical mode decomposition analysis of alcohol withdrawal tremor signals. - Narges Norouzi; Parham Aarabi; Taylor Dear; Sally Carver; Simon Bromberg; Mel Kahan; Sara Gray; Bjug Borgundvaag (GlobalSIP, 2016)

Evaluation of alcohol intoxication and withdrawal syndromes based on analysis of tremor signals. - Narges Norouzi; Sally Carver; Taylor Dear; Simon Bromberg; Sara Gray; Mel Kahan; Parham Aarabi; Bjug Borgundvaag (Biomed. Signal Process. Control., 2017)

Modified particle swarm optimization in a time-dependent vehicle routing problem: minimizing fuel consumption. - Narges Norouzi; Mohsen Sadegh Amal Nick; Reza Tavakkoli-Moghaddam (Optim. Lett., 2017)

Quantitative Evaluation of Student Engagement in a Large-Scale Introduction to Programming Course using a Cloud-based Automatic Grading System. - Narges Norouzi; Ryan Hausen (FIE, 2018)

KB-NLG: From Knowledge Base to Natural Language Generation. - Wen Cui; Minghui Zhou; Rongwen Zhao; Narges Norouzi (WNLP@ACL, 2019)

Video Manipulation Detection via Recurrent Residual Feature Learning Networks. - Matthew J. Howard; Alexander S. Williamson; Narges Norouzi (GlobalSIP, 2019)

Sequential Image Synthesis for Human Activity Video Generation. - Fahim Hasan Khan; Akila de Silva; Jayanth Yetukuri; Narges Norouzi (ICIAR (2), 2019)

PokerBot: Hand Strength Reinforcement Learning. - Angela Ramirez; Solomon Reinman; Narges Norouzi (INISTA, 2019)

Model AI Assignments 2020. - Todd W. Neller; Stephen Keeley; Michael Guerzhoy; Wolfgang Hönig; Jiaoyang Li 001; Sven Koenig; Ameet Soni; Krista Thomason; Lisa Zhang; Bibin Sebastian; Cinjon Resnick; Avital Oliver; et al. (AAAI, 2020)

Lessons Learned from Teaching Machine Learning and Natural Language Processing to High School Students. - Narges Norouzi; Snigdha Chaturvedi; Matthew Rutledge (AAAI, 2020)

Successful Interventions to Eliminate Achievement Gaps in STEM Courses. - Tracy Larrabee; Narges Norouzi; Carmen Robinson; Jenny Quynn (RESPECT, 2020)

EEG Data Analysis for Intellectual Developmental Disorder. - Kyle Oda; Narges Norouzi (BIBM, 2021)

WaveFusion Squeeze-and-Excitation: Towards an Accurate and Explainable Deep Learning Framework in Neuroscience. - Michael Briden; Narges Norouzi (EMBC, 2021)

An Effective Deep Learning Framework for Cell Segmentation in Microscopy Images. - Sherry Lin; Narges Norouzi (EMBC, 2021)

Baskin Engineering Excellence Scholars Bridge Program: Planning, Implementation, and Evaluation. - Narges Norouzi; Carmen Robinson; Rebecca Covarrubias; Ruby Hernandez; Danay Weldegabriel; Gwynn Benner; Wenjuan Sang; Rafael Espericueta (FIE, 2021)

A New Automatic Change Detection Frame-work Based on Region Growing and Weighted Local Mutual Information: Analysis of Breast Tumor Response to Chemotherapy in Serial MR Images. - Narges Norouzi; Reza Azmi; Nooshin Noshiri; Robab Anbiaee (CoRR, 2021)

Fine-grained Cross-Layer Attention Framework for Wound Stage Classification. - Keval Nagda; Michael Briden; Narges Norouzi (BHI, 2022)

Subject-Aware Explainable Contrastive Deep Fusion Learning for Anxiety Level Analysis. - Michael Briden; Narges Norouzi (ICPR Workshops (1), 2022)

HealNet - Self-supervised Acute Wound Heal-Stage Classification. - Héctor Carrión; Mohammad Jafari 001; Hsin-Ya Yang; Roslyn Rivkah Isseroff; Marco Rolandi; Marcella Gomez; Narges Norouzi (MLMI@MICCAI, 2022)

SnapMode: An Intelligent and Distributed Large-Scale Fashion Image Retrieval Platform Based On Big Data and Deep Generative Adversarial Network Technologies. - Narges Norouzi; Reza Azmi; Sara Saberi Tehrani Moghadam; Maral Zarvani (CoRR, 2022)

Model AI Assignments 2023. - Todd W. Neller; Raechel Walker; Olivia Dias; Zeynep Yalçin; Cynthia Breazeal; Matthew E. Taylor; Michele Donini; Erin J. Talvitie; Charlie Pilgrim; Paolo Turrini; James Maher; Matthew Boutell; et al. (AAAI, 2023)

Context-Aware Analysis of Group Submissions for Group Anomaly Detection and Performance Prediction. - Narges Norouzi; Amir Mazaheri (AAAI, 2023)

Uniform Selection And Representation Matching: A Framework For Classifying Wound Healing Stage. - Michael Briden; Narges Norouzi (EMBC, 2023)

WoundNet: A Domain-Adaptable Few-Shot Classification Framework for Wound Healing Assessment. - Anirudh Potlapally; Shubham Mahajan; Michael Briden; Harrison Shawa; Andrea Medina Lopez; Daniel Yoon; Amir Mazaheri; Hsinya Yang; Sara Dahle; Roslyn R. Isseroff; Narges Norouzi (ISBI, 2023)

An Equity-minded Multi-dimensional Framework for Exploring the Dynamics of Sense of Belonging in an Introductory CS Course. - Narges Norouzi; Hamidreza Habibi; Carmen Robinson; Anna Sher (ITiCSE (1), 2023)

FEDD - Fair, Efficient, and Diverse Diffusion-Based Lesion Segmentation and Malignancy Classification. - Héctor Carrión; Narges Norouzi (MICCAI (7), 2023)

Evaluation of the Impact of Modality for Equity Program. - Narges Norouzi; Carmen Robinson (SIGCSE (2), 2023)

Developing a Tool to Automate Extensions to Support a Flexible Extension Policy. - Jordan Schwartz; Madison Bohannan; Jacob Yim; Yuerou Tang; Dana Benedicto; Charisse Liu; Armando Fox; Lisa Yan; Narges Norouzi (CoRR, 2023)

Toward metacognition: subject-aware contrastive deep fusion representation learning for EEG analysis. - Michael Briden; Narges Norouzi (Biol. Cybern., 2023)

RetLLM-E: Retrieval-Prompt Strategy for Question-Answering on Student Discussion Forums. - Chancharik Mitra; Mihran Miroyan; Rishi Jain; Vedant Kumud; Gireeja Ranade; Narges Norouzi (AAAI, 2024)

ALGM: Adaptive Local-then-Global Token Merging for Efficient Semantic Segmentation with Plain Vision Transformers. - Narges Norouzi; Svetlana Orlova; Daan de Geus; Gijs Dubbelman (CVPR, 2024)

WIP: Automated Flexible Extensions for Improving Learning Equity in Large Scale Computing Classrooms. - Dana Benedicto; Jordan Schwartz; Narges Norouzi; Lisa Yan (FIE, 2024)

A Quantitative Analysis of a Summer Bridge Program's Impact on Students' Non-Academic Indicators. - Shreya Gupta; Chetan Goenka; Narges Norouzi (FIE, 2024)

WIP: Boosting CS Freshmen: The Impact of Summer Bridge Programs on Academic Success and Attitudes. - Shreya Gupta; Narges Norouzi (FIE, 2024)

WIP: Examining the Impact of a Flexible Extension Policy on Student Learning Experience in a Large-Scale Computing Course. - Charisse Liu; Yuerou Tang; Narges Norouzi; Lisa Yan (FIE, 2024)

Mapping the Pathways: A Comparative Analysis of AI/ML/DS Prerequisite Structures in R1 Institutions in the United States. - Rose Niousha; Dev Ahluwalia; Michael Wu; Lisa Zhang; Narges Norouzi (FIE, 2024)

How Instructors Incorporate Generative AI into Teaching Computing. - James Prather; Juho Leinonen 001; Natalie Kiesler; Jamie Gorson Benario; Sam Lau; Stephen MacNeil; Narges Norouzi; Simone Opel; Virginia Pettit; Leo Porter 001; Brent N. Reeves; Jaromír Savelka; et al. (ITiCSE (2), 2024)

Beyond the Hype: A Comprehensive Review of Current Trends in Generative AI Research, Teaching Practices, and Tools. - James Prather; Juho Leinonen 001; Natalie Kiesler; Jamie Gorson Benario; Sam Lau; Stephen MacNeil; Narges Norouzi; Simone Opel; Vee Pettit; Leo Porter 001; Brent N. Reeves; Jaromír Savelka; et al. (ITiCSE-WGR, 2024)

AI in Computing Education from Research to Practice. - Bita Akram; Juho Leinonen 001; Narges Norouzi; James Prather; Lisa Zhang (SIGCSE (2), 2024)

Data Science Mastery Learning Using Parsons Problems-Inspired Table Transformations. - Jacob Seungwon Choe; Matthew G. Lee; Siddharth A. Marathe; Armando Fox; Dan Garcia 001; Narges Norouzi (SIGCSE (2), 2024)

Towards Attention-Based Automatic Misconception Identification in Introductory Programming Courses. - Muntasir Hoq; Jessica Vandenberg; Bradford W. Mott; James C. Lester; Narges Norouzi; Bita Akram (SIGCSE (2), 2024)

EIT: Earnest Insight Toolkit for Evaluating Students' Earnestness in Interactive Lecture Participation Exercises. - Mihran Miroyan; Shiny Weng; Rahul Shah 003; Lisa Yan; Narges Norouzi (SIGCSE (1), 2024)

Elevating Learning Experiences: Leveraging Large Language Models as Student-Facing Assistants in Discussion Forums. - Chancharik Mitra; Mihran Miroyan; Rishi Jain; Vedant Kumud; Gireeja Ranade; Narges Norouzi (SIGCSE (2), 2024)

Use of Large Language Models for Extracting Knowledge Components in CS1 Programming Exercises. - Rose Niousha; Muntasir Hoq; Bita Akram; Narges Norouzi (SIGCSE (2), 2024)

Automated Support for Flexible Extensions. - Jordan Schwartz; Madison Bohannan; Jacob Yim; Yuerou Tang; Dana Benedicto; Charisse Liu; Armando Fox; Lisa Yan; Narges Norouzi (SIGCSE (2), 2024)

Supporting Mastery Learning with Flexible Extensions. - Yuerou Tang; Jacob Yim; Jordan Schwartz; Madison Bohannan; Dana Benedicto; Charisse Liu; Armando Fox; Lisa Yan; Narges Norouzi (SIGCSE (2), 2024)

61A-Bot: AI homework assistance in CS1 is fast and cheap - but is it helpful? - J. D. Zamfirescu-Pereira; Laryn Qi; Björn Hartmann; John DeNero; Narges Norouzi (CoRR, 2024)

A Knowledge-Component-Based Methodology for Evaluating AI Assistants. - Laryn Qi; J. D. Zamfirescu-Pereira; Taehan Kim; Björn Hartmann; John DeNero; Narges Norouzi (CoRR, 2024)

Beyond the Hype: A Comprehensive Review of Current Trends in Generative AI Research, Teaching Practices, and Tools. - James Prather; Juho Leinonen 001; Natalie Kiesler; Jamie Gorson Benario; Sam Lau; Stephen MacNeil; Narges Norouzi; Simone Opel; Vee Pettit; Leo Porter 001; Brent N. Reeves; Jaromír Savelka; et al. (CoRR, 2024)

Comparing Artificial Intelligence Curricula in Canadian and US Universities. - Rose Niousha; Lexie Jingruo Guo; Rick Kaifeng Li; Narges Norouzi; Lisa Zhang (AAAI, 2025)

Modeling Student Knowledge Progression Across Concepts in Intelligent Tutoring Interactions. - Kanav Mittal; Abigail O'Neill; Hanna Schlegel; Gireeja Ranade; Narges Norouzi (AIED (2), 2025)

Askademia: A Real-Time AI System for Automatic Responses to Student Questions. - Meenakshi Mittal; Gaurav Tyagi; Azalea Bailey; Gireeja Ranade; Narges Norouzi (AIED (4), 2025)

Your ViT is Secretly an Image Segmentation Model. - Tommie Kerssies; Niccolò Cavagnero; Alexander Hermans; Narges Norouzi; Giuseppe Averta; Bastian Leibe; Gijs Dubbelman; Daan de Geus (CVPR, 2025)

Automated Identification of Logical Errors in Programs: Advancing Scalable Analysis of Student Misconceptions. - Muntasir Hoq; Ananya Rao; Reisha Jaishankar; Krish Piryani; Nithya Janapati; Jessica Vandenberg; Bradford W. Mott; Narges Norouzi; James C. Lester; Bita Akram (EDM, 2025)

Checkpoint: A Tool for Supporting Terminal-Based Capture-the-Flag Assessments. - Connor Robert Bernard; Melissa Fabros; Zhifei Li; Narges Norouzi; Daniel D. Garcia; Armando Fox (SIGCSE (2), 2025)

Dynamic, Randomizable, Autogradable Visual Programming Simulations for Python Using Prairielearn. - Noemi Chulo; Gabriel Classon; Ashley Chiu; Dan Garcia 001; Armando Fox; Narges Norouzi (SIGCSE (2), 2025)

An Interactive Tool for Randomized Autogradable Graph Assessments. - Eldar Hasanov; Dev Ahluwalia; Dan Garcia 001; Narges Norouzi; Armando Fox (SIGCSE (2), 2025)

Analyzing Pedagogical Quality and Efficiency of LLM Responses with TA Feedback to Live Student Questions. - Mihran Miroyan; Chancharik Mitra; Rishi Jain; Gireeja Ranade; Narges Norouzi (SIGCSE (1), 2025)

Raising the Bar: Automating Consistent and Equitable Student Support with LLMs. - Meenakshi Mittal; Azalea Bailey; Victoria Phelps; Mihran Miroyan; Chancharik Mitra; Rishi Jain; Rose Niousha; Gireeja Ranade; Narges Norouzi (SIGCSE (2), 2025)

LLM-KCI: Leveraging Large Language Models to Identify Programming Knowledge Components. - Rose Niousha; Abigail O'Neill; Ethan Chen; Vedansh Malhotra; Bita Akram; Narges Norouzi (SIGCSE (2), 2025)

Launching and Enhancing Summer Bridge Programs. - Abby O'Neill; Stella Kaval; Mallika Reddy; Alvaro Monge; Colleen M. Lewis; Narges Norouzi (SIGCSE (2), 2025)

From Code to Concepts: Textbook-Driven Knowledge Tracing with LLMs in CS1. - Abby O'Neill; Samantha Smith; Aneesh Durai; John DeNero; J. D. Zamfirescu-Pereira; Narges Norouzi (SIGCSE (2), 2025)

Spotting AI Missteps: Students Take on LLM Errors in CS1. - Samantha Boatright Smith; Heather Wei; Abby O'Neill; Aneesh Durai; John DeNero; J. D. Zamfirescu-Pereira; Narges Norouzi (SIGCSE (2), 2025)

61A Bot Report: AI Assistants in CS1 Save Students Homework Time and Reduce Demands on Staff. (Now What?). - J. D. Zamfirescu-Pereira; Laryn Qi; Björn Hartmann; John DeNero; Narges Norouzi (SIGCSE (1), 2025)

Facilitating Instructors-LLM Collaboration for Problem Design in Introductory Programming Classrooms. - Muntasir Hoq; Jessica Vandenberg; Shuyin Jiao; Seung Y. Lee; Bradford W. Mott; Narges Norouzi; James C. Lester; Bita Akram (CoRR, 2025)

2025 SIGCSE Technical Symposium Report. - Jeffrey A. Stone; Timothy T. Yuen; Samuel A. Rebelsky; Libby Shoop; James Prather; Oluwakemi Ola; Narges Norouzi (ACM SIGCSE Bull., 2025)

Search Arena: Analyzing Search-Augmented LLMs. - Mihran Miroyan; Tsung-Han Wu; Logan King; Tianle Li; Jiayi Pan; Xinyan Hu; Wei-Lin Chiang; Anastasios N. Angelopoulos; Trevor Darrell; Narges Norouzi; Joseph E. Gonzalez (CoRR, 2025)

LeanTutor: A Formally-Verified AI Tutor for Mathematical Proofs. - Manooshree Patel; Rayna Bhattacharyya; Thomas Lu; Arnav Mehta; Niels Voss; Narges Norouzi; Gireeja Ranade (CoRR, 2025)

MAGIC: Multi-Agent Argumentation and Grammar Integrated Critiquer. - Joaquín Jordán; Xavier Yin; Melissa Fabros; Gireeja Ranade; Narges Norouzi (CoRR, 2025)

ParaStudent: Generating and Evaluating Realistic Student Code by Teaching LLMs to Struggle. - Mihran Miroyan; Rose Niousha; Joseph E. Gonzalez; Gireeja Ranade; Narges Norouzi (CoRR, 2025)