publications&projects

2026

1. ICASSP

   

   SRIQL: Implicit Q Learning for Ultralight-weight Image Super Resolution

   Farzan Niknejad, Mohammad Hadi Niknam, and Javad Alirezaie

   In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2026

   Abs Code

   Designed a reinforcement learning-based neural architecture search over lightweight super-resolution blocks using Implicit Q-Learning (IQL). Achieved state-of-the-art (SOTA) performance across benchmark datasets (DIV2K, Set14, Set5, Urban100) with a 1 dB PSNR gain over existing lightweight baselines.

2. BMC

   

   URLSR: Efficient Image Super Resolution Network using Neural Operations and Reinforcement Learning

   Farzan Niknejad, Mohammad Hadi Niknam, and Javad Alirezaie

   BMC Medical Informatics and Decision Making, 2026

   Under Review

   Abs

   Proposes URLSR, an efficient super-resolution architecture using neural operations and reinforcement learning designed for high-fidelity, resource-constrained medical image enhancement.

3. Under Review

   

   QuantaSR: Efficient Image Super-Resolution through Quantization Error Optimization in Low-Precision Neural Networks

   Farzan Niknejad, Mohammad Hadi Niknam, and Javad Alirezaie

   2026

   Under Review

   Abs

   Investigates quantization error optimization strategies in ultra-low precision neural networks to achieve efficient, accurate image super-resolution on edge computing platforms.

4. Dataset

   Arena Human Preference 90K: Engineered Features and Correctness Annotations

   Nazanin Mirzaei, Parsa Naderi, Mohammad Hadi Niknam, and 6 more authors

   2026

   Abs Website

   A derived release built on lmarena-ai/arena-human-preference-140k ( 90,000 battles) providing interpretable structural and linguistic features across conversation turns and independent human correctness annotations for LLM evaluation and human preference modeling.

5. BMC

   Fairness-Aware Operating-Room Sequencing for Acute Orthopaedic Trauma: A Retrospective Capacity-Calibrated Stress Test Using MOVER

   Mohammad Hadi Niknam, Saeed Vosoughi, Ghazaleh Shakiba Maram, and 4 more authors

   BMC Medical Informatics and Decision Making, 2026

   Under Review

   Abs

   Introduces a fairness-aware scheduling framework for operating-room sequencing in acute orthopaedic trauma cases, validated through retrospective capacity-calibrated stress testing on the MOVER dataset.

6. BSc Thesis

   

   HAS-RL: Human-Adaptive Safe Reinforcement Learning for Clinician-Configured Force Safety in Robotic Ultrasound Spinal Scanning

   Mohammad Hadi Niknam

   Amirkabir University of Technology (Tehran Polytechnic), 2026

   Abs Bib PDF Supp Slides Website

   BSc Thesis introducing HAS-RL, an operator-conditioned safe reinforcement learning framework for robotic ultrasound spinal scanning. Delivers zero-shot force safety under dynamic runtime limits, the Smoothed Bandit-Lagrangian (SBL) multiplier method, anticipatory trajectory tracking, and two-sided acoustic window constraints.

   @thesis{thesis2026,
     title = {HAS-RL: Human-Adaptive Safe Reinforcement Learning for Clinician-Configured Force Safety in Robotic Ultrasound Spinal Scanning},
     author = {Niknam, Mohammad Hadi},
     school = {Amirkabir University of Technology (Tehran Polytechnic)},
     year = {2026},
   }

2025

1. Under Review

   Imaging-Based Artificial Intelligence for Osteonecrosis of the Jaw: A Systematic Review of Current Evidence and Clinical Translation Challenges

   Mohammad Reza Dolikhani, Mohammad Hadi Niknam, and others

   2025

   Under Review

   Abs

   A systematic review synthesizing current evidence, methodological frameworks, diagnostic accuracy, and translation barriers in imaging-based artificial intelligence for osteonecrosis of the jaw (ONJ).

2. Project

   

   SuperGradio: A general API for all huggingface Spaces

   Mohammad Hadi Niknam

   2025

   Abs Code Website

   SuperGradio is a lightweight framework that enables developers to connect, customize, and deploy Hugging Face Spaces with minimal configuration. It drastically reduces setup time and supports real-time inference, model chaining, and UI customization out of the box. Built for researchers and engineers who want to prototype AI demos faster.

3. Project

   

   xv6: Operating System Kernel Extensions

   Mohammad Hadi Niknam

   2025

   Abs Code

   Xv6 is an educational operating system developed at MIT. Extended its functionality by adding features such as superpage support, copy-on-write fork (COW), and the mmap system call. Each addition presents unique challenges, enhancing deep understanding of operating system internals.

4. Project

   

   Smart Payment: Escrow Smart Contract System

   Mohammad Hadi Niknam

   2025

   Abs Code

   A smart contract management system with secure payment integration for creating, signing, and managing digital contracts with escrow payments.