2025 : 6 : 4
فارسی

Sajad Ahmadian

Academic rank: Assistant Professor
ORCID:
Education: PhD.
ScopusId:
HIndex:
Faculty: Faculty of Information Technology
Address:
Phone: 09188339565
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Education

  • PhD. in Computer Engineering/Artificial Intelligence , University of Zanjan , Iran (2014 - 2018)
    Thesis title:
  • MSc. in Computer Engineering/Artificial Intelligence , University of Kurdistan , Iran (2012 - 2014)
    Thesis title:
  • BSc. in Computer Engineering/Software Engineering , Razi University , Iran (2007 - 2011)
    Thesis title: -
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Research activities

Journal Papers
A healthy and reliable rating profile expansion approach to address data sparsity in food recommendation systems Sajad Ahmadian, Merhrdad Rostami, Seyed Mohammad Jafar Jalali, Mourad Oussalah, Vahid Farahi (2025) KNOWLEDGE AND INFORMATION SYSTEMS: 67; 3699–3735
SiSRS: Signed social recommender system using deep neural network representation learning Abed Heshmati, Majid Meghdadi, Mohsen Afsharchi, Sajad Ahmadian (2025) EXPERT SYSTEMS WITH APPLICATIONS: 259; 125205-...
A novel physical activity recognition approach using deep ensemble optimized transformers and reinforcement learning Sajad Ahmadian, Mehrdad Rostami, Vahid Farahi, Mourad Oussalah (2024) NEURAL NETWORKS: 173; 106159-...
A novel healthy food recommendation to user groups based on a deep social community detection approach Mehrdad Rostami, Kamal Berahmand, Saman Forouzandeh, Sajad Ahmadian, Vahid Farahi, Mourad Oussalah (2024) NEUROCOMPUTING: 576; 127326-...
DHSIRS: a novel deep hybrid side information-based recommender system Amir Khani Yengikand, Majid Meghdadi, Sajad Ahmadian (2023) MULTIMEDIA TOOLS AND APPLICATIONS: 82; 34513-34539
A novel healthy and time-aware food recommender system using attributed community detection Mehrdad Rostami, Vahid Farahi, Sajad Ahmadian, Seyed Mohammad Jafar Jalali, Mourad Oussalah (2023) EXPERT SYSTEMS WITH APPLICATIONS: 221; 119719-...
RDERL: Reliable deep ensemble reinforcement learning-based recommender system Milad Ahmadian, Sajad Ahmadian, Mahmood Ahmadi (2023) KNOWLEDGE-BASED SYSTEMS: 263; 110289-...
Probabilistic Wind Power Forecasting Using Optimized Deep Auto-Regressive Recurrent Neural Networks Parul Arora, Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Bijaya Ketan Panigrahi, Ponnuthurai Nagaratnam Suganthan, Abbas Khosravi (2023) IEEE Transactions on Industrial Informatics: 19; 2814-2825
Healthy Food Recommendation Using a Time-Aware Community Detection Approach and Reliability Measurement Sajad Ahmadian, Mehrdad Rostami, Seyed Mohammad Jafar Jalali, Mourad Oussalah, Vahid Farahi (2022) International Journal of Computational Intelligence Systems: 15; 1-24
Solar irradiance forecasting using a novel hybrid deep ensemble reinforcement learning algorithm Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Bahareh Nakisa, mahdi khodayar, Abbas Khosravi, Joao Catalao, Miadreza Shafie-khah, Syed Mohammed Shams Islam, Saeid Nahavandi (2022) Sustainable Energy, Grids and Networks: 32; 100903-...
An advanced short-term wind power forecasting framework based on the optimized deep neural network models Seyed Mohammad Jafar Jalali, Sajad Ahmadian, mahdi khodayar, Abbas Khosravi, Miadreza Shafie-khah, Joao Catalao, Saeid Nahavandi (2022) INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS: 141; 108143-...
X-ray image based COVID-19 detection using evolutionary deep learning approach Seyed Mohammad Jafar Jalali, Milad Ahmadian, Sajad Ahmadian, Rachid Hedjam, Abbas Khosravi, Saeid Nahavandi (2022) EXPERT SYSTEMS WITH APPLICATIONS: 201; 116942-...
An Efficient Hybrid Model Based on Modified Whale Optimization Algorithm and Multilayer Perceptron Neural Network for Medical Classification Problems Saeid Raziani, Sajad Ahmadian, Seyed Mohammad Jafar Jalali, Abdolah Chalechale (2022) Journal of Bionic Engineering: 19; 1504-1521
Towards novel deep neuroevolution models: chaotic levy grasshopper optimization for short-term wind speed forecasting Seyed Mohammad Jafar Jalali, Sajad Ahmadian, mahdi khodayar, Abbas Khosravi, Vahid Ghasemi, Joao Catalao, Saeid Nahavandi, Miadreza Shafie-khah (2022)
A reliable deep representation learning to improve trust-aware recommendation systems Milad Ahmadian, Mahmood Ahmadi, Sajad Ahmadian (2022)
A deep learning based trust- and tag-aware recommender system Sajad Ahmadian, Milad Ahmadian, Mahdi Jalili (2022)
An efficient cardiovascular disease detection model based on multilayer perceptron and moth-flame optimization Sajad Ahmadian, Seyed Mohammad Jafar Jalali, Saeid Raziani, Abdolah Chalechale (2022)
Novel Uncertainty-Aware Deep Neuroevolution Algorithm to Quantify Tidal Forecasting Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Md Kislu Noman, Abbas Khosravi, Syed Mohammed Shams Islam, Joao Catalao, Fei Wang (2022)
Alleviating data sparsity problem in time-aware recommender systems using a reliable rating profile enrichment approach Sajad Ahmadian, Nima Joorabloo, Mahdi Jalili, Milad Ahmadian (2022)
Automated Deep CNN-LSTM Architecture Design for Solar Irradiance Forecasting Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Abdollah Kavousi-Fard, Abbas Khosravi, Saeid Nahavandi (2022)
New Hybrid Deep Neural Architectural Search-Based Ensemble Reinforcement Learning Strategy for Wind Power Forecasting Seyed Mohammad Jafar Jalali, Gerardo J. Osório, Sajad Ahmadian, Mohamed Lotfi, Vasco M. A. Campos, Joao Catalao, Abbas Khosravi, Miadreza Shafie-khah (2022)
A Novel Evolutionary-Based Deep Convolutional Neural Network Model for Intelligent Load Forecasting Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Abbas Khosravi, Miadreza Shafie-khah, Saeid Nahavandi, Joao Catalao (2021)
A novel deep neuroevolution-based image classification method to diagnose coronavirus disease (COVID-19) Sajad Ahmadian, Seyed Mohammad Jafar Jalali, Syed Mohammed Shams Islam, Abbas Khosravi, Ebrahim Fazli, Saeid Nahavandi (2021)
An oppositional-Cauchy based GSK evolutionary algorithm with a novel deep ensemble reinforcement learning strategy for COVID-19 diagnosis Seyed Mohammad Jafar Jalali, Milad Ahmadian, Sajad Ahmadian, Abbas Khosravi, Mamoun Alazab, Saeid Nahavandi (2021)
A hybrid recommendation system based on profile expansion technique to alleviate cold start problem Faryad Tahmasebi, Majid Meghdadi, Sajad Ahmadian, Khashayar Valiallahi (2021)
Neuroevolution-based autonomous robot navigation: A comparative study Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Abbas Khosravi, Seyedali Mirjalili, Mohammad Reza Mahmoudi, Saeid Nahavandi (2020)
A social recommender system based on reliable implicit relationships Sajad Ahmadian, Nima Joorabloo, Mahdi Jalili, Yongli Ren, Majid Meghdadi, Mohsen Afsharchi (2020)
An effective social recommendation method based on user reputation model and rating profile enhancement Sajad Ahmadian, Mohsen Afsharchi, Majid Meghdadi (2019)
A novel approach based on multi-view reliability measures to alleviate data sparsity in recommender systems Sajad Ahmadian, Mohsen Afsharchi, Majid Meghdadi (2019)
Evaluating Collaborative Filtering Recommender Algorithms: A Survey Mahdi Jalili, Sajad Ahmadian, Maliheh Izadi, Parham Moradi, Mostafa Salehi (2018)
Incorporating reliable virtual ratings into social recommendation systems Sajad Ahmadian, Majid Meghdadi, Mohsen Afsharchi (2018)
A social recommendation method based on an adaptive neighbor selection mechanism Sajad Ahmadian, Majid Meghdadi, Mohsen Afsharchi (2018)
TCARS: Time-and community-aware recommendation system Fatemeh Rezaeimehr, Parham Moradi, Sajad Ahmadian, Nooruldeen Nasih Qader, Mahdi Jalili (2018)
A reliability-based recommendation method to improve trust-aware recommender systems Parham Moradi, Sajad Ahmadian (2015)
An effective trust-based recommendation method using a novel graph clustering algorithm Parham Moradi, Sajad Ahmadian, Fardin Akhlaghian (2015)
Conference Papers
A Novel Explainable and Health-aware Food Recommender System Mehrdad Rostami, Vahid Farahi, Kamal Berahmand, Saman Forouzandeh, Sajad Ahmadian, Mourad Oussalah (2022)
Deep Representation Learning using Multilayer Perceptron and Stacked Autoencoder for Recommendation Systems Amir Khani Yengikand, Majid Meghdadi, Sajad Ahmadian, Seyed Mohammad Jafar Jalali, Abbas Khosravi, Saeid Nahavandi (2021)
Integration of Deep Sparse Autoencoder and Particle Swarm Optimization to Develop a Recommender System Milad Ahmadian, Mahmood Ahmadi, Sajad Ahmadian, Seyed Mohammad Jafar Jalali, Abbas Khosravi, Saeid Nahavandi (2021)
A New Uncertainty-aware Deep Neuroevolution Model for Quantifying Tidal Prediction Seyed Mohammad Jafar Jalali, mahdi khodayar, Sajad Ahmadian, Md Kislu Noman, Abbas Khosravi, Joao Catalao, Fei Wang, Syed Mohammed Shams Islam (2021)
A New Ensemble Reinforcement Learning Strategy for Solar Irradiance Forecasting using Deep Optimized Convolutional Neural Network Models Seyed Mohammad Jafar Jalali, mahdi khodayar, Sajad Ahmadian, Miadreza Shafie-khah, Abbas Khosravi, Joao Catalao, Saeid Nahavandi, Syed Mohammed Shams Islam (2021)
Neural Network Training Using a Biogeography-Based Learning Strategy Seyed Jalaleddin Mousavirad, Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Abbas Khosravi, Gerald Schaefer, Saeid Nahavandi (2020)
Evolving Artificial Neural Networks Using Butterfly Optimization Algorithm for Data Classification Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Parham Mohsenzadeh Kebria, Abbas Khosravi, Chee Peng Lim, Saeid Nahavandi (2019)
LGLMF: Local Geographical Based Logistic Matrix Factorization Model for POI Recommendation Hossein Ali Rahmani, Mohammad Aliannejadi, Sajad Ahmadian, Mitra Baratchi, Mohsen Afsharchi, Fabio Crestani (2019)
A temporal clustering approach for social recommender systems Sajad Ahmadian, Nima Joorabloo, Mahdi Jalili, Majid Meghdadi, Mohsen Afsharchi, Yongli Ren (2018)
A trust-aware recommender algorithm based on users overlapping community structure Parham Moradi, Fatemeh Rezaeimehr, Sajad Ahmadian, Mahdi Jalili (2016)
Training back propagation neural networks using asexual reproduction optimization Sajad Ahmadian, Ali Reza Khanteymoori (2015)
An improved model of trust-aware recommender systems using reliability measurements Sajad Ahmadian, Parham Moradi, Fardin Akhlaghian (2014)
Projects
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