Mohsen Hooshmand

Assistant Professor in Informatics
Department of Computer Science and Information Technology
Institute of Advanced Studies in Basic Sciences
Gavazang, Zanjan, Iran

Contact

via email:
mohsen dot hooshmand at iasbs dot ac dot ir
mohsenhoshmand at gmail dot com

Office:
Room 238, Dept of CSIT

Research Interests

Theory of Computation and AI, Bioinformatics, NLP, Stochastics Processes

Publications

• Majidifar Sh., Zabihain A., Hooshmand M., "Combination Therapy Synergism Prediction for Virus Treatment using Machine Learning Models," PLOS ONE, Vol. 19, 1-16,2024. git, pdf
• Hashemi S.M., Zabihain A., Hajsaeedi M., Hooshmand M., "Antivirals for Monkeypox Virus: Proposing an Effective Machine/Deep Learning Framework," PLOS ONE, Vol. 17, 1-17,2024. git, pdf
• Zabihian A., Asghari J., Hooshmand M., Gharaghani S., "A Comparative Analysis of Computational Drug Repurposing Approaches: Proposing a Novel Tensor-Matrix-Tensor Factorization Method," Molecular Diversity, Vol. 13, 1-20, 2024. git
• Abdi K., Rezaei H., Hooshmand M., "Machine Learning-based Fundamental Stock Prediction Using Companies Financial Reports," IEEE 32nd International Conf. on Electrical Engineering (ICEE2024), Tehran, Iran, 2024.
• Shami Tanha R., Hooshmand M., Afhsharchi M., "UAV-based Firefighting by Multi-agent Reinforcement Learning," IEEE, 13th International Conference on Computer and Knowledge Engineering, ICCKE2023, Mashhad, Iran, 2023.
• Nasrollahi M., Shami Tanha R., Hooshmand M., "Lempel-Ziv-based Hyper-Heuristic Solution for Longest Common Subsequence Problem," IEEE, 13th International Conference on Computer and Knowledge Engineering, ICCKE2023, Mashhad, Iran, 2023.
• Zabihian A., Zakaryapour Sayad F., Hashemi M., Shami Tanha R., Hooshmand M., Gharaghani S., "DEDTI vs. IEDTI: Efficient and Predictive Models of Drug-Target Interactions," Nature Scientific Reports (Sci Rep), Vol. 13, 9238, 2023. git, pdf
• Abdi A., Hajsaeedi M., Hooshmand M., "Longest Common Substring in Longest Common Subsequence's Solution Service: A Novel Hyper-heuristic," Computational Biology and Chemistry, vol. 105, p. 107882, 2023. git
• Yousefi S., Hooshmand M., Afsharchi M., "Early Discovery of Emerging Entities in Persian Twitter with Semantic," IEEE, 9th International Conference on Web Research (ICWR2023), Tehran, Iran, 2023.
• Shami Tanha R., Sadighian M., Zabihian A., Hooshmand M., Afhsharchi M., "MAD-TI: Meta-path Aggregated-Graph Attention Network for Drug Target Interaction Prediction," IEEE 31st International Conf. on Electrical Engineering (ICEE2023), Tehran, Iran, 2023.
• Hashemi S.M., Zabihain A., Hooshmand M., Gharaghani S., "DRaW: Prediction of COVID-19 Antivirals by Deep Learning -- An Objection on Using Matrix Factorization," BMC Bioinformatics, 2023. git, pdf
• Zabihian A., Hooshmand M., Gharaghani S., 1400, "Indicator Regularized Non-Negative Matrix Factorization vs. a Novel Combinatorial Heuristic Matrix Factorization: a Comparison of Matrix Factorization Methods as the Building Block of Drug Repurposing," The first international conference and the tenth national bioinformatics conference of Iran, Kish, Feb, 2022.
• Li Z., Derksen H., Gryak J., Hooshmand M., Wood A., Ghanbari H., Gunaratne P., Najarian K. "Markov models for detection of ventricular arrhythmia," 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019.
• Li Z., Derksen H., Gryak J., Hooshmand M., Wood A., Ghanbari H., Gunaratne P., Najarian K. "Supraventricular tachycardia detection via machine learning algorithms," IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2018.
• Hooshmand M., Williamson C., Gryak J., Najarian K., "The Use of Supervised Machine Learning to Predict Outcome in Moderate and Severe Traumatic Brain Injury", submitted to Journal of Neurotrauma, 2018.
• Williamson C.A., Hooshmand M., Gryak J., Rajajee V., Najarian K., "The Use of Supervised Machine Learning to Predict Outcome in Moderate and Severe Traumatic Brain Injury", Neurocritical Care Society conference (NCC 2018), 2018.
• Hooshmand M., Gonzalez R., Carmichael A., Birditt K., Soroka K., Gryak J., Najarian K., "Data and Signal Management in Multidisciplinary Projects: a case study", 2018.
• Hooshmand M., Soroushmehr S.M.R., Williamson C., Gryak J., Najarian K., "Computing Amount of Midline Shift in Traumatic Brain Injury", MHSRS, Aug 2018.
• Hooshmand M., Soroushmehr S.M.R., Williamson C., Gryak J., Najarian K., "Automatic Midline Shift Detection in Traumatic Brain Injury", 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'2018), 2018.
• Nguyen A., Ansari S., Hooshmand M., Lin K., Ghanbari, H., Gryak J., Najarian K., "Comparative Study on Heart Rate Variability Analysis for Atrial Fibrillation Detection in Short Single-Lead ECG Recordings," 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'2018), 2018.
• Hooshmand M., Zordan D., Melodia T., Grisan E., Rossi M., "SURF: Subject-Adaptive Unsupervised ECG Signal Compression for Wearable Fitness Monitors," IEEE Access Journal, vol. 5, pp. 19517-19535, 2017.
• Hooshmand M., Zordan D., Del Testa D., Grisan E., Rossi M. "Boosting the Efficiency of Wearable Devices through the Compression of Biosignals," IEEE Internet of Things Journal, vol. 4, no. 5, pp. 1647-1662, Oct. 2017.
• Hooshmand M., Rossi M., Zordan D., Zorzi M. "Covariogram-Based Compressive Sensing for Environmental Wireless Sensor Networks," IEEE Sensors Journal, vol. 16, no. 6, pp. 1716-1729, Mar 2016.
• Francescon R., Hooshmand M., Gadaleta M., Grisan E., Yoon S. K., Rossi M. "Toward Lightweight Biometric Signal Processing for Wearable Devices," IEEE Engineering in Medicine and Biology Society (EMBS), August 25-29, Milan, Italy, 2015.
• Rossi M., Hooshmand M., Zordan D., Zorzi M. "Evaluating the Gap Between Compressive Sensing and Distributed Source Coding in WSN," IEEE International Conference on Computing, Networking and Communications (ICNC), February 16-19, Anaheim, California, US, 2015.
• Hooshmand M., Soroushmehr S.M.R., Khadivi P., Samavi S., Shirani S. "Visual Sensor Network Lifetime Maximization by Prioritized Scheduling of Nodes," Journal of Network and Computer Applications, Vol. 36, Issue 1, pp. 409419, 2013.
• Hooshmand M., Samavi S., Soroushmehr S.M.R. "Resource Extension in Visual Sensor Network for Panoramic Image Generation,"IEEE, 20th Iranian Conf. on Electrical Engineering, ICEE2012, Tehran, Iran, 2012.
• Hooshmand M., Jonbakhsh N., Samavi S., Soroushmehr S.M.R., "Calibration of Randomly Distributed Camera Sensor Network with Minimum Effort," 18th Iranian Conf. on Electrical Engineering, ICEE2010, Isfahan, Iran, 2010 (Persian).

Projects

NLP

Bioinformatics

Courses

• Algorithms
• Quantum Computing
• Theory of Computational Complexity
• Numerical Optimization
• Stochastic Processes
• Reinforcement Learning
• Artificial Intelligence
• Game Theory
• Theory of Computation (Languages and Automata)
• Compiler Design
• Signals and Systems
• Computer Security
• Data Structures
• Python Programming
• Linear Algebra
• Fundamentals of Probability

Talks

Students and researcher colleagues

• Arash Zabihain, PhD., Researcher, current
• Amir A. Moosaei, M.Sc Student, current
• Masih Hajsaeedi, M.Sc Student, current
• Javad Asghari, M.Sc Student, current
• Shayan Majidifar, M.Sc Student, current
• Fateme Nasiri, M.Sc Student, current
• Mahdi Nouroozi, M.Sc Student, current
• Amir R. Abbasi, M.Sc Student, current
• Shervin Dadashzade, M.Sc Student, current
• Sana Behtari, M.Sc Student, current
• Mohammadreza Naderloo, M.Sc Student, current
• Hossein Rezaei, M.Sc Student, graduated
• Zahra Mahdiani, M.Sc Student, graduated
• S. Morteza Hashemi, Researcher, graduated
• Reza Shami Tanha, Researcher, graduated
• Faeze Zakaryapour Sayyad, Researcher, graduated
• Alireza Mansouri, M.Sc Student, graduated
• Hesam Tahmasebi Boldaji, Researcher, graduated
• Maryam Sadighian, M.Sc Student, graduated
• S. Saeed Naghibi, M.Sc Student, graduated
• Mahdi Nasrolahi, M.Sc Student, graduated
• Alireza Abdi, M.Sc Student, graduated
• Shahin Yosoufi, M.Sc Student, graduated
• Kamran Abdi, M.Sc Student, graduated

Lab