RAG Application
Retrieval‑Augmented Generation for QA using LangChain + Bedrock.
GitHub
PhD researcher at LMT, Saarland University 🇩🇪, collaborating with Bosch Sensortec. Developing temperature–frequency tuned impedance spectroscopy and ML methods for reliable gas sensing for food freshness detection.
I received my BS in Electrical Engineering from NUCES‑FAST (2018) and MS in Computer Science from NUST‑SEECS (2022). Prior industry experience includes Embedded Systems, QA Automation, and Generative‑AI at Emumba (2018–2024). I also served as a Research Assistant at the EPIC Lab (2017–2018).
EU Researcher (Doktorand) — PhD on novel excitation schemes for MOS gas sensors to improve food freshness detection using impedance spectroscopy.
EU Researcher (Industrial PhD) — Application of gas sensors for food freshness detection; industry collaboration and experimental design.
| Title | Authors | Venue / Year | Links |
|---|---|---|---|
| Generisch‑Net: A Generic Deep Model for Analyzing Human Motion with Wearable Sensors in the Internet of Health Things | Kiran Hamza, Qaiser Riaz, Hamza Ali Imran, Mehdi Hussain, Björn Krüger | MDPI Sensors, 2024 | Online PDF |
| Smart‑Wearable Sensors and CNN‑BiGRU Model: A Powerful Combination for Human Activity Recognition | Hamza Ali Imran, Qaiser Riaz, Mehdi Hussain, Hasan Tahir, Razi Arshad | IEEE Sensors Journal, 2023 | Online PDF |
| Machines Perceive Emotions: Identifying Affective States from Human Gait Using On‑Body Smart Devices | Hamza Ali Imran, Qaiser Riaz, Muhammad Zeeshan, Mehdi Hussain, Razi Arshad | MDPI Applied Sciences, 2023 | Online PDF |
| Khail‑Net: A Shallow Convolutional Neural Network for Recognizing Sports Activities Using Wearable Inertial Sensors | Hamza Ali Imran | IEEE Sensors Letters, 2022 | Online PDF |
| UltaNet: An Antithesis Neural Network for Recognizing Human Activity Using Inertial Sensors Signals | Hamza Ali Imran | IEEE Sensors Letters, 2022 | Online |
| Performance Comparison of MPICH and MPI4py on Raspberry Pi‑3B Beowulf Cluster | Saad Wazir, Ataul Aziz Ikram, Hamza Ali Imran, Hanif Ullah, Ahmed Jamal Ikram, Maryam Ehsan | JARDCS, 2019 |
Retrieval‑Augmented Generation for QA using LangChain + Bedrock.
GitHubGPT‑3.5 based order assistant for menu selection and address verification.
GitHubESP32 mesh for climate monitoring with Android integration.
Simplified BLE communication for ESP32 devices.
GitHubGATT‑based BLE serial for UART‑like link.
GitHubEnd‑to‑end pipeline using deep CNNs.
GitHubBest way to reach me is email or message on LinkedIn. I’m open to collaborations, post‑doc opportunities, and industry roles aligned with sensing and Artificial Intelligence (AI).