Research output per year
Research output per year
Personal profile
Biography
Jonaid Shianifar is a Ph.D. candidate in Computer Science at the University of Galway. His research focuses on reinforcement learning and multi-objective optimization for robotic control. He holds a M.Sc. and B.Sc. degrees in Electronic Engineering from Razi University, Iran. His research interests include reinforcement learning, evolutionary computation, machine learning, neural networks, and robotics.
Research Interests
Multi-Objective Reinforcement Learning, Reinforcement Learning, Evolutionary Algorithm, Robotics
Related documents
Education/Academic qualification
-
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
-
SDG 7 Affordable and Clean Energy
Fingerprint
Dive into the research topics where Jonaid Shianifar is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
Adaptive scalarization in multi-objective reinforcement learning for enhanced robotic arm control
Shianifar, J., Schukat, M. & Mason, K., 2026, In: Neurocomputing. 665, p. 132205 1 p.Research output: Contribution to a Journal (Peer & Non Peer) › Article › peer-review
2 Citations (Scopus) -
MO-CoERL: Multi-objective cooperative evolutionary deep reinforcement learning
Shianifar, J., Schukat, M. & Mason, K., 2026, In: Information Sciences. 748, p. 123517 1 p.Research output: Contribution to a Journal (Peer & Non Peer) › Article › peer-review
-
Reinforcement Learning for Sequential Solar PV Policy Design under Uncertainty: An Agent-Based Approach
Faiud, I., Shianifar, J., Schukat, M. & Mason, K., Oct 2026, International Conference on Practical Applications of Agents and Multi-Agent Systems. SpringerResearch output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review
-
Hindsight Preference Replay Improves Preference-Conditioned Multi-Objective Reinforcement Learning
Shianifar, J., Schukat, M. & Mason, K., 2025, Proceedings of the 33rd Irish Conference on Artificial Intelligence and Cognitive Science (AICS 2025).Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review
-
Optimizing Deep Reinforcement Learning for Adaptive Robotic Arm Control
Shianifar, J., 1 Jan 2025, Highlights in Practical Applications of Agents, Multi-Agent Systems, and Digital Twins: The PAAMS Collection.Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review
Prizes
-
COSE PhD Scholarship - Jonaid Shianifar
Shianifar, J. (Recipient), Schukat, M. (Recipient) & Mason, K. (Recipient), 2022
Prize
-
Supervisor of 1st place Poster Award Recipient Jonaid Shianifar
Shianifar, J. (Recipient), Schukat, M. (Recipient) & Mason, K. (Recipient), 2026
Prize
-
Supervisor of Jonaid Shianifar awarded 1st place in ACROBA project Hackathon
Shianifar, J. (Recipient), Schukat, M. (Recipient) & Mason, K. (Recipient), 2024
Prize
-