Meltdown/Tantrum Detection System for Individuals with Autism Spectrum Disorder. - Vikas Khullar; Harjit Pal Singh; Manju Bala (Appl. Artif. Intell., 2021)

Exploring the Role of Conventional and Non-Conventional Technologies in Identifying MDD. - Chetna Gupta; Vikas Khullar (SOLI, 2022)

Privacy protected internet of unmanned aerial vehicles for disastrous site identification. - Vikas Khullar; Harjit Pal Singh (Concurr. Comput. Pract. Exp., 2022)

Privacy Preserving Collaboratively Training Framework for Classification of Major Depressive Disorder using Non-IID Three Channel Electroencephalogram. - Chetna Gupta; Vikas Khullar (ICMLDE, 2023)

IoT-Fog-enabled robotics-based robust classification of hazy and normal season agricultural images for weed detection. - Isha Kansal; Vikas Khullar; Jyoti Verma 002; Renu Popli; Rajeev Kumar (Paladyn J. Behav. Robotics, 2023)

Privacy enabled driver behavior analysis in heterogeneous IoV using federated learning. - Rishu Chhabra; Saravjeet Singh; Vikas Khullar (Eng. Appl. Artif. Intell., 2023)

Federated learning based privacy preserved English accent training ecosystem for people with Indian language accent. - Mohit Angurala; Vikas Khullar (Entertain. Comput., 2023)

f-FNC: Privacy concerned efficient federated approach for fake news classification. - Vikas Khullar; Harjit Pal Singh (Inf. Sci., 2023)

Exploring Techniques and Approaches for Time Series Analysis and its Attacks. - Abhishek; Vikas Khullar (ICCCNT, 2024)

A Hybrid Images Deep Trained Feature Extraction and Ensemble Learning Models for Classification of Multi Disease in Fundus Images. - Jyoti Verma 002; Isha Kansal; Renu Popli; Vikas Khullar; Daljeet Singh; Manish Snehi; Rajeev Kumar (NCDHWS (2), 2024)

Resource-efficient federated learning over IoAT for rice leaf disease classification. - Meenakshi Aggarwal; Vikas Khullar; Nitin Goyal; Thomas André Prola (Comput. Electron. Agric., 2024)

Deep learning based next word prediction aided assistive gaming technology for people with limited vocabulary. - Muskan Chawla; Surya Narayan Panda; Vikas Khullar; Kamal Deep Garg; Mohit Angurala (Entertain. Comput., 2024)

Privacy preserved collaborative transfer learning model with heterogeneous distributed data for brain tumor classification. - Meenakshi Aggarwal; Vikas Khullar; Nitin Goyal; Rashi Rastogi; Aman Singh; Vanessa Yelamos Torres; Marwan Ali Albahar (Int. J. Imaging Syst. Technol., 2024)

Deep trained features extraction and dense layer classification of sensitive and normal documents for robotic vision-based segregation. - Vikas Khullar; Isha Kansal; Jyoti Verma 002; Rajeev Kumar; Karuna Salgotra; Gurpreet Singh Saini (Paladyn J. Behav. Robotics, 2024)

K Means clustering and descriptive analytics based performance recommending system for Kabaddi team and player. - Vikas Khullar (Multim. Tools Appl., 2024)

Gas Detection and Classification Using Multimodal Data Based on Federated Learning. - Ashutosh Sharma; Vikas Khullar; Isha Kansal; Gunjan Chhabra; Priya Arora; Renu Popli; Rajeev Kumar (Sensors, 2024)

SMILEY - assistive application to support social and emotional skills in SPCD individuals. - Muskan Chawla; Surya Narayan Panda; Vikas Khullar (Medical Biol. Eng. Comput., 2024)

FL-QNNs: Memory Efficient and Privacy Preserving Framework for Peripheral Blood Cell Classification. - Meenakshi Aggarwal; Vikas Khullar; Nitin Goyal; Bhavani Sankar Panda; Hardik Doshi; Nafeesh Ahmad; Vivek Bhardwaj 001; Gaurav Sharma (IEEE Access, 2025)

Modality independent federated multimodal classification system detached EEG, audio and text data for IID and non-IID conditions. - Chetna Gupta; Vikas Khullar (Biomed. Signal Process. Control., 2025)

Blockchain-enabled federated learning-based privacy preservation framework for secure IoT in precision agriculture. - Ishu Sharma; Vikas Khullar (J. Ind. Inf. Integr., 2025)

Privacy-Preserving Federated Learning System (f-PPLS) for military focused area classification. - Priya Arora; Vikas Khullar; Isha Kansal; Rajeev Kumar; Renu Popli (Multim. Tools Appl., 2025)

Guest Editorial: Advancing Personalized Healthcare Integrating AI and Health Informatics. - Aryan Chaudhary; Vikas Khullar; Keshav Kaushik (IEEE J. Biomed. Health Informatics, 2025)