Optimal Feature Selection via NSGA-II for Power Quality Disturbances Classification. - Utkarsh Singh; Shyam Narain Singh (IEEE Trans. Ind. Informatics, 2018)

On-chip Learning In A Conventional Silicon MOSFET Based Analog Hardware Neural Network. - Nilabjo Dey; Janak Sharda; Utkarsh Saxena; Divya Kaushik; Utkarsh Singh; Debanjan Bhowmik (BioCAS, 2019)

A new optimal feature selection scheme for classification of power quality disturbances based on ant colony framework. - Utkarsh Singh; Shyam Narain Singh (Appl. Soft Comput., 2019)

Comparing domain wall synapse with other Non Volatile Memory devices for on-chip learning in Analog Hardware Neural Network. - Divya Kaushik; Utkarsh Singh; Upasana Sahu; Indu Sreedevi; Debanjan Bhowmik (CoRR, 2019)

Collisions of uniformly distributed identifiers with an application to MAC address anonymization. - Jean-François Determe; Sophia Azzagnuni; Utkarsh Singh; François Horlin; Philippe De Doncker (CoRR, 2020)

Foreign accent classification using deep neural nets. - Utkarsh Singh; Akshay Gupta; Dipjyoti Bisharad; Wasim Arif (J. Intell. Fuzzy Syst., 2020)

Crowd Forecasting Based on WiFi Sensors and LSTM Neural Networks. - Utkarsh Singh; Jean-François Determe; François Horlin; Philippe De Doncker (IEEE Trans. Instrum. Meas., 2020)

A computer vision pipeline for automatic large-scale inventory tracking. - Stephen Gregory; Utkarsh Singh; Jeff Gray 001; Jon Hobbs (ACM Southeast Conference, 2021)

Web-based Simulator for Studying Shared Control of Autonomous Platoons. - Utkarsh Singh; Chris S. Crawford (AutomotiveUI (adjunct), 2021)

Towards Web-based Environments for Prototyping Social Robot Applications. - Brisaac Johnson; Bryan Y. Hernández-Cuevas; Utkarsh Singh; Chris S. Crawford; Vishesh Vikas; André R. Denham (HRI (Companion), 2021)

AvaFlow: Learning to Design Intelligent Virtual Agents through Flow-Based Programming. - Utkarsh Singh; Chris Crawford (SIGCSE, 2021)

A proactive decision support system for reviewer recommendation in academia. - Tribikram Pradhan; Suchit Sahoo; Utkarsh Singh; Sukomal Pal (Expert Syst. Appl., 2021)

Forecasting Crowd Counts With Wi-Fi Systems: Univariate, Non-Seasonal Models. - Jean-François Determe; Utkarsh Singh; François Horlin; Philippe De Doncker (IEEE Trans. Intell. Transp. Syst., 2021)

Monitoring Large Crowds With WiFi: A Privacy-Preserving Approach. - Jean-François Determe; Sophia Azzagnuni; Utkarsh Singh; François Horlin; Philippe De Doncker (IEEE Syst. J., 2022)

On Trainable Multiplicative Noise Removal Models. - Mahipal Jetta; Utkarsh Singh; Padmaja Yinukula (SSVM, 2023)

The role of hosting capacity study in power system advancements: a review. - Utkarsh Singh (CoRR, 2023)

Implementing hosting capacity analysis in distribution networks: Practical considerations, advancements and future directions. - Utkarsh Singh; Ahmed Al-Durra (CoRR, 2023)

memorAIs: an Optical Character Recognition and Rule-Based Medication Intake Reminder-Generating Solution. - Eden Shaveet; Utkarsh Singh; Nicholas Assaderaghi; Maximo Librandi (CoRR, 2023)

Monitoring-Based Localization of Unbalances and Root Cause Analysis in Low-Voltage Distribution Systems. - Utkarsh Singh; Ramzi Solomon; Omid Alizadeh Mousavi (IEEE Syst. J., 2023)

Optimizing Electric Vehicle Efficiency with Real-Time Telemetry using Machine Learning. - Aryaman Rao; Harshit Gupta; Parth Singh; Shivam Mittal; Utkarsh Singh; Dinesh Kumar Vishwakarma (ICMRE, 2024)

A New Adaptive Biased Voltage Differencing Transconductance Amplifier. - Priyanka Gupta 001; Surbhi; Yashika Aggarwal; Utkarsh Singh; Shruti Arya (J. Circuits Syst. Comput., 2024)

Coherent feed-forward quantum neural network. - Utkarsh Singh; Aaron Z. Goldberg; Khabat Heshami (Quantum Mach. Intell., 2024)

Developing grid-forming converter controller DLL for real-time HIL simulations. - Utkarsh Singh; Ravi Singh; Marjan Popov; Aleksandra Lekic (Elektrotech. Informationstechnik, 2025)

A Resource Efficient Quantum Kernel. - Utkarsh Singh; Jean Frédéric Laprade; Aaron Z. Goldberg; Khabat Heshami (CoRR, 2025)