Fifty years of automata simulation: a review. - Pinaki Chakraborty; Prem Chandra Saxena; Chittaranjan Padmanabha Katti (Inroads, 2011)

Teaching purpose compilers: an exercise and its feedback. - Pinaki Chakraborty; Taneja Shweta; Prem Chandra Saxena; Chittaranjan Padmanabha Katti (Inroads, 2011)

Automata simulators: Classic tools for computer science education. - Pinaki Chakraborty; Prem Chandra Saxena; Chittaranjan Padmanabha Katti (Br. J. Educ. Technol., 2012)

A compiler-based toolkit to teach and learn finite automata. - Pinaki Chakraborty; Prem Chandra Saxena; Chittaranjan Padmanabha Katti (Comput. Appl. Eng. Educ., 2013)

A new practicum in compiler construction. - Pinaki Chakraborty; Prem Chandra Saxena; Chittaranjan Padmanabha Katti; Gauri Pahwa; Taneja Shweta (Comput. Appl. Eng. Educ., 2014)

An exercise on hardware/software codesign following the RISC model. - Diya Joseph; Geetika Kaur; Pinaki Chakraborty (Comput. Appl. Eng. Educ., 2016)

PPVT: a tool to visualize predictive parsing. - Aashi Jain; Archita Goyal; Pinaki Chakraborty (Inroads, 2017)

PAVT: a tool to visualize and teach parsing algorithms. - Somya Sangal; Shreya Kataria; Twishi Tyagi; Nidhi Gupta; Yukti Kirtani; Shivli Agrawal; Pinaki Chakraborty (Educ. Inf. Technol., 2018)

Quantitative Analysis of Feature Extraction Techniques for Isolated Word Recognition. - Chesta Agarwal; Pinaki Chakraborty; Serena Barai; Vaibhav Goyal (ICACDS (2), 2019)

KELDEC: A Recommendation System for Extending Classroom Learning with Visual Environmental Cues. - Kanika; Shampa Chakraverty; Pinaki Chakraborty; Shikhar Agnihotri; Soumya Mohapatra; Prakriti Bansal (NLPIR, 2019)

Automata Simulator: A mobile app to teach theory of computation. - Tuhina Singh; Simra Afreen; Pinaki Chakraborty; Rashmi Raj; Savita Yadav; Dipika Jain (Comput. Appl. Eng. Educ., 2019)

A review of tools and techniques for computer aided pronunciation training (CAPT) in English. - Chesta Agarwal; Pinaki Chakraborty (Educ. Inf. Technol., 2019)

International collaborative projects on digital electronic systems using open source tools. - Maria Cristina Rodriguez-Sánchez; Pinaki Chakraborty; Norberto Malpica (Comput. Appl. Eng. Educ., 2020)

Evaluation of simulation systems suitable for teaching compiler construction courses. - Srecko Stamenkovic; Nenad Jovanovic; Pinaki Chakraborty (Comput. Appl. Eng. Educ., 2020)

A genetic algorithm-based approach for making pairs and assigning exercises in a programming course. - Kanika Tehlan; Shampa Chakraverty; Pinaki Chakraborty; Shradha Khapra (Comput. Appl. Eng. Educ., 2020)

Teaching concepts related to finite automata using ComVis. - Nenad Jovanovic; Dragisa Miljkovic; Srecko Stamenkovic; Zoran Jovanovic; Pinaki Chakraborty (Comput. Appl. Eng. Educ., 2021)

VISTA: A teaching aid to enhance contextual teaching. - Kanika Kanika; Shampa Chakraverty; Pinaki Chakraborty; Manan Madan; Gaurav Gupta; Aditya Aggarwal (Comput. Appl. Eng. Educ., 2021)

ComVIS - Interactive simulation environment for compiler learning. - Nenad Jovanovic; Srecko Stamenkovic; Dragisa Miljkovic; Pinaki Chakraborty (Comput. Appl. Eng. Educ., 2022)

Using Google voice search to support informal learning in four to ten year old children. - Savita Yadav; Pinaki Chakraborty (Educ. Inf. Technol., 2022)

Designing Drawing Apps for Children: Artistic and Technological Factors. - Savita Yadav; Pinaki Chakraborty; Prabhat Mittal (Int. J. Hum. Comput. Interact., 2022)

Child-smartphone interaction: relevance and positive and negative implications. - Savita Yadav; Pinaki Chakraborty (Univers. Access Inf. Soc., 2022)

Introducing schoolchildren to computational thinking using smartphone apps: A way to encourage enrollment in engineering education. - Savita Yadav; Pinaki Chakraborty (Comput. Appl. Eng. Educ., 2023)

Effect of different grouping arrangements on students' achievement and experience in collaborative learning environment. - Kanika Kanika; Shampa Chakraverty; Pinaki Chakraborty; Manan Madan (Interact. Learn. Environ., 2023)

Reinforcing biology education in schools using smartphones: a post-COVID pandemic study. - Savita Yadav; Pinaki Chakraborty (Educ. Inf. Technol., 2024)

Deep-SQA: A deep learning model using motor activity data for objective sleep quality assessment assisting digital wellness in healthcare 5.0. - Anshika Arora; Pinaki Chakraborty; M. P. S. Bhatia; Akshi Kumar 001 (Expert Syst. J. Knowl. Eng., 2024)

Detection of aberration in human behavior using shallow neural network over smartphone inertial sensors data. - Sakshi; M. P. S. Bhatia; Pinaki Chakraborty (Comput. Intell., 2024)

A feature-driven approach for ADAS using real-time smartphone inertial sensor data. - Sakshi; M. P. S. Bhatia; Pinaki Chakraborty (Int. J. Sens. Networks, 2025)

Causality and Decision-making: A Logical Framework for Systems and Security Modelling. - Pinaki Chakraborty; Tristan Caulfield; David J. Pym (CoRR, 2025)