| 1 | Biomedical and Applied Machine Intelligence (BAMI) Research Grou | The Biomedical and Applied Machine Intelligence (BAMI) is an interdisciplinary research group dedicated to advancing artificial intelligence, machine learning, deep learning, and generative AI to address real-world challenges in biomedicine, healthcare, and other applied domains. The group develops innovative computational methods for intelligent data analysis, predictive modeling, and decision support using diverse and multimodal datasets. | Prof. Dr. Abdul Jalil | Artificial Intelligence, Machine Learning, Medical Image Analysis |
| Dr. Nabeela Kausar |
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| 2 | Artificial Intelligence (AI) enabled with the Internet of Things (IoT) | IoT refers to the network of interconnected physical devices embedded with sensors, Software, and other technologies that enable them to collect and exchange data over the Internet. AI refers to the simulation of human intelligence in machines programmed to mimic and perform tasks that typically require human intelligence. It involves developing computer systems capable of performing tasks such as speech recognition, decision-making, problem-solving, learning, and more, without explicit human intervention. The integration of AI and IoT holds massive potential for transforming industries, optimizing operations, and enhancing user experiences. However, it is crucial to address the challenges surrounding privacy, security, ethics, and societal impact to ensure the responsible and beneficial use of these technologies. | Dr. Ghawar Said | Internet of Things: |
| Mr. Zikria Mian | 1.Generative AI and LLM-enabled. |
| Ms. Tayyaba Shehzad | 2. Edge AI / On-Device Intelligence. |
| Mr. Noman Al Hussan | 3.Cloud–Edge–Device Collaborative Intelligence. |
| Mr. Asad Ullah Khan | 4. AI Agents / Autonomous AIoT. |
| Mr. Muhammad Waseem Malik | 5.Digital Twins + AIoT |
| Mr. Sohail Ahmed |
| Mr. Safi Ur Rahman (PhD Scholar) |
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| 3 | Data Analytics Research Group | This research group focuses on the area of data analytics for energy optimization and several other energy-related problems. | Dr. Sana Mujeeba | Data Analytics-based Energy Optimization |
| Ms. Irtiza Kazim |
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| 4 | Open Networking Technologies | The Open Networking Technologies Research Group (ONTRG) at Iqra University is dedicated to advancing next-generation networking paradigms, with a focus on software-defined networking (SDN), network function virtualization (NFV), and AI-driven network automation. Our research explores open and disaggregated optical networks, security in software-defined infrastructures. We aim to bridge the gap between theoretical research and industry applications, fostering innovation in scalable, efficient, and intelligent networking solutions. Through collaboration with academia, industry, and open-source communities, ONTRG contributes to the evolution of resilient, high-performance, and future-proof network infrastructures. | Dr. Hafiz Mati Ur Rahman | Software-Defined Networking (SDN), Network Function Virtualization (NFV), Open Networking Operating Systems (SONiC, ONOS, etc.), Open and Disaggregated Optical Networks, AI-driven Network Automation and Optimization, Open Radio Access Networks (ORAN), QML and Quantum Internet. |
| Dr. Mubashar |
| Ms. Sadia Zar |
| Dr. Syed Irfan Sohail |
| Mr.Kh. Ammad Badar |
| Mr. Azhar Hayat |
| Mr. Muhammad Tauqeer |
| Mr. Sulman Asif Cheema |
| Ms. Tayyaba Shazad |
| Ms.Samavia Tariq |
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| 5 | Intelligent Computing and Networking Research Group | The Intelligent Computing and Networking Research Group (ICNRG) is dedicated to advancing cutting-edge research in intelligent computing, communication networks, and emerging digital technologies. The group fosters interdisciplinary research to develop innovative, secure, and scalable solutions for real-world challenges by integrating Artificial Intelligence, Machine Learning, Data Science, Cyber Security, Internet of Things (IoT), Cloud and Edge Computing, Intelligent Transportation Systems, and Next-Generation Networks | Dr. Adnan Sohail | AI, ML, Cyber Security, Networking, IoT, Cloud Computing |
| Mr. Jawad Hassan Nisar (PhD Scholar) |
| Ms. Sumaira Shafiq (PhD Scholar) |
| Mr. Yasir Sadiq Anjum (PhD Scholar) |
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| 6 | 5G/6G Enabled IIoT in short (5/6GEIoT) Research Group | 5G/6G Enabled IIoT Research Group (5/6GEIIoT). This group would focus on introducing Smart Solutions using 5G/6G integrated with IoT Industrial systems, using small drones equipped with communication interfaces to be used in multiple areas. Such solutions can be applied to industrial and specifically driverless smart vehicular systems to avoid instant or occasional mishaps or incidents and secure humans as well as other devices and vehicles. These 5G/6G enabled IIoT systems embedded with front end interfaces would communicate via Edge Servers and Devices to the Cloud for smooth execution, with a focus on resilient and energy efficient networking, ultra-low latency, and reliable data exchange for real time and safety critical applications. | Dr. Syed Irfan Sohail | 5G/6G Technology, Industrial IoT, Edge Servers, Networks, Cloud Platform, Telco Drones, Design Interface |
| MS.Maleeha (PhD Scholar) |
| Mr.Usama Khan |
| Ms.Aqsa Chaudhry |
| Ms. Ahsan Naeem |
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| 7 | Computer Vision, Biomedical and Applied Machine Intelligence (BAMI) Research Group | Computer Vision, Biomedical and Applied Machine Intelligence (BAMI) is an interdisciplinary research group dedicated to advancing artificial intelligence, machine learning, deep learning, and generative AI to address real-world challenges in biomedicine, healthcare, and other applied domains. The group develops innovative computational methods for intelligent data analysis, predictive modeling, and decision support using diverse and multimodal datasets. | Dr. Muhammad Iqbal | Artificial Intelligence, Machine Learning, Medical Image Analysis, Generative AI |
| Ms.Maria Hanif |
| Ms.Aqsa khalid |
| Ms.Aiman Shehzadi |
| Ms.Aima Azmat |
