Asymptotically Optimal Scalable Coding for Minimum Weighted Mean Square Error. - Ashish Aggarwal; Shankar L. Regunathan; Kenneth Rose (Data Compression Conference, 2001)

Near-optimal selection of encoding parameters for audio coding. - Ashish Aggarwal; Shankar L. Regunathan; Kenneth Rose (ICASSP, 2001)

A conditional enhancement-layer quantizer for the scalable MPEG advanced Audio Coder. - Ashish Aggarwal; Kenneth Rose (ICASSP, 2002)

Efficient scalable coding of stereophonic audio by conditional quantization and estimation-theoretic prediction. - Ashish Aggarwal; Sang-Uk Ryu; Kenneth Rose (ICASSP (5), 2003)

Integrating Static and Dynamic Analysis for Detecting Vulnerabilities. - Ashish Aggarwal; Pankaj Jalote (COMPSAC (1), 2006)

Monitoring the Security Health of Software Systems. - Ashish Aggarwal; Pankaj Jalote (ISSRE, 2006)

A trellis-based optimal parameter value selection for audio coding. - Ashish Aggarwal; Shankar L. Regunathan; Kenneth Rose (IEEE Trans. Speech Audio Process., 2006)

Efficient bit-rate scalability for weighted squared error optimization in audio coding. - Ashish Aggarwal; Shankar L. Regunathan; Kenneth Rose (IEEE Trans. Speech Audio Process., 2006)

Designing and Refining of Questions to Assess Students' Ability to Mentally Simulate Programs and Predict Program Behavior (Abstract Only). - Ashish Aggarwal; Christina Gardner-McCune; David S. Touretzky (SIGCSE, 2016)

Teaching "Lawfulness" With Kodu. - David S. Touretzky; Christina Gardner-McCune; Ashish Aggarwal (SIGCSE, 2016)

Neo-Piagetian Classification of Reasoning Ability and Mental Simulation in Microsoft's Kodu Game Lab. - Ashish Aggarwal (SIGCSE, 2017)

Evaluating the Effect of Using Physical Manipulatives to Foster Computational Thinking in Elementary School. - Ashish Aggarwal; Christina Gardner-McCune; David S. Touretzky (SIGCSE, 2017)

Semantic Reasoning in Young Programmers. - David S. Touretzky; Christina Gardner-McCune; Ashish Aggarwal (SIGCSE, 2017)

Demonstrating the Ability of Elementary School Students to Reason About Programs. - Ashish Aggarwal; David S. Touretzky; Christina Gardner-McCune (SIGCSE, 2018)

Evaluating the Effectiveness of Explicit Instruction in Reducing Program Reasoning Fallacies in Elementary Level Students. - Ashish Aggarwal; Christina Gardner-McCune; David S. Touretzky (ITiCSE, 2019)

Program Comprehension: Identifying Learning Trajectories for Novice Programmers. - Cruz Izu; Carsten Schulte 001; Ashish Aggarwal; Quintin I. Cutts; Rodrigo Duran 001; Mirela Gutica; Birte Heinemann; Eileen T. Kraemer; Violetta Lonati; Claudio Mirolo; Renske Weeda (ITiCSE, 2019)

Fostering Program Comprehension in Novice Programmers - Learning Activities and Learning Trajectories. - Cruz Izu; Carsten Schulte 001; Ashish Aggarwal; Quintin I. Cutts; Rodrigo Duran 001; Mirela Gutica; Birte Heinemann; Eileen T. Kraemer; Violetta Lonati; Claudio Mirolo; Renske Weeda (ITiCSE-WGR, 2019)

Evaluating the Use and Effectiveness of Ungraded Practice Problems in an Introductory Programming Course. - Caleb O'Malley; Ashish Aggarwal (ACE, 2020)

How do Quiz and Homework Submission Times Affect Students' Performance in a Flipped CS1 Class? - Leslie Harvey; Ashish Aggarwal (ICER, 2020)

Opponent Hand Estimation in Gin Rummy Using Deep Neural Networks and Heuristic Strategies. - Bhaskar Mishra; Ashish Aggarwal (AAAI, 2021)

Exploring the Differences in Students' Behavioral Engagement With Quizzes and Its Impact on their Performance in a Flipped CS1 Course. - Ashish Aggarwal; Akshay Ashok (Koli Calling, 2022)

Unison Live: Automated Feedback, Grading, and Analytics LTI Application. - Ashish Aggarwal; Aeyzechiah Vasquez (Koli Calling, 2022)

How do Undergraduate Students Reason about Ethical and Algorithmic Decision-Making? - Ashish Aggarwal; Saurabh Ranjan (SIGCSE (1), 2022)

Does the Availability of Reattempts and Video Solutions Affect Learners' Voluntary Engagement with Mastery Learning Activities? - Ashish Aggarwal; Griffin Pitts; Shayne Marusic; Leslie Harvey; Christina Gardner-McCune (L@S, 2023)

Who Attempts Optional Practice Problems in a CS1 Course?: Exploring Learner Agency to Foster Mastery Learning. - Ashish Aggarwal; Neelima Puthanveetil; Christina Gardner-McCune (SIGCSE (1), 2023)

Aligning the Goals of Learning Analytics with its Research Scholarship: An Open Peer Commentary Approach. - Rebecca Ferguson; Hassan Khosravi; Vitomir Kovanovic; Olga Viberg; Ashish Aggarwal; Matthieu J. S. Brinkhuis; Simon Buckingham Shum; Lujie Karen Chen; Hendrik Drachsler; Valerie A. Guerrero; Michael Hanses; Caitlin Hayward; et al. (J. Learn. Anal., 2023)

Do Behavioral Factors Influence the Extent to which Students Engage with Formative Practice Opportunities? - Ashish Aggarwal; Manas Adepu; Alex Garcia-Marin; Christina Gardner-McCune (SIGCSE (1), 2024)

Understanding Engineering Students' Ethical and Algorithmic Decision Preferences through a Consequentialist Framework. - Edward Kempa; Ashish Aggarwal (SIGCSE (2), 2024)

Understanding Outcome Expectancy in a CS1 Course. - Griffin Pitts; Ashish Aggarwal (SIGCSE (2), 2024)

Understanding Optimal Interactions Between Students and A Chatbot During A Programming Task. - Jinnie Shin; Laura M. Cruz Castro; Zhenlin Yang; Gabriel Castelblanco; Ashish Aggarwal; Walter L. Leite; Bruce F. Carroll (WSC, 2024)

Deconstructing Engineering Students' Ethical Reasoning: A Consequentialist Framework for Algorithmic Choices. - Edward Kempa; Ashish Aggarwal (ITiCSE (1), 2025)

Student Course Behaviors Influencing Performance in a Flipped CS1 Classroom Model. - Griffin Pitts; Ashish Aggarwal (SIGCSE (2), 2025)