Ontology Based Application Model for Feature Driven Development. - Farheen Siddiqui; Mohd. Afshar Alam (IICAI, 2011)

Ontology Based Feature Driven Development Life Cycle. - Farheen Siddiqui; Mohd. Afshar Alam (CoRR, 2013)

Machine learning approach for automated defense against network intrusions. - Farhaan Noor Hamdani; Farheen Siddiqui (PeerJ Prepr., 2019)

Cyber-Physical Systems and Smart Cities in India: Opportunities, Issues, and Challenges. - Md. Onais Ahmad; Mohd Abdul Ahad; Mohd. Afshar Alam; Farheen Siddiqui; Gabriella Casalino (Sensors, 2021)

Exploring the digital support needs of caregivers of people with serious mental illness. - Farheen Siddiqui; Delvin Varghese; Pushpendra Singh 001; Sunita Bapuji Bayyavarapu; Stephen Lindsay; Dharshani Chandrasekara; Pranav Kulkarni; Ling Wu; Taghreed Alshehri; Patrick Olivier (CHI, 2023)

Anticipating the Nearness of Coronary Heart Infection Utilizing Machine Learning Classifiers. - Lamiaa Mohammed Salem Akoosh; Farheen Siddiqui; Sherin Zafar; Sameena Naaz; M. Afshar Alam (ICMLDE, 2023)

A Genetic Algorithm-Based Virtual Machine Allocation Policy for Load Balancing Using Actual Asymmetric Workload Traces. - Insha Naz; Sameena Naaz; Parul Agarwal; Bhavya Alankar; Farheen Siddiqui; Javed Ali (Symmetry, 2023)

BAuth-ZKP - A Blockchain-Based Multi-Factor Authentication Mechanism for Securing Smart Cities. - Md. Onais Ahmad; Gautami Tripathi; Farheen Siddiqui; Mohd. Afshar Alam; Mohd Abdul Ahad; Mohd Majid Akhtar; Gabriella Casalino (Sensors, 2023)

Tri-model classifiers for EEG based mental task classification: hybrid optimization assisted framework. - Awwab Mohammad; Farheen Siddiqui; M. Afshar Alam; Sheikh Mohammad Idrees (BMC Bioinform., 2023)

A hybridized approach for minimizing energy in cloud computing. - Sanna Mehraj Kak; Parul Agarwal; M. Afshar Alam; Farheen Siddiqui (Clust. Comput., 2024)

Load balancing in cloud computing via intelligent PSO-based feedback controller. - Shabina Ghafir; M. Afshar Alam; Farheen Siddiqui; Sameena Naaz (Sustain. Comput. Informatics Syst., 2024)

Bridging efficiency and interpretability: Explainable AI for multi-classification of pulmonary diseases utilizing modified lightweight CNNs. - Samia Khan; Farheen Siddiqui; Mohd Abdul Ahad (Image Vis. Comput., 2025)