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 237, Dept of CSIT

Research Interests

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

Academic Appointments

• Postdoctoral Researcher
  Department of Computational Medicine and Bioinformatics (DCMB)
  University of Michigan, Ann Arbor, USA
  [2017–2019]

Education

• Ph.D. in Informatics
  University of Padua (Università degli Studi di Padova), Italy
  Research visit: Northeastern University, Boston, Massachusetts, USA
• M.Sc., Isfahan University of Technology (IUT), Iran
• B.Sc., Sharif University of Technology (SUT), Tehran, Iran

Publications

• Rezaei H., Hooshmand M., Abdi K., "Machine learning based classification and regression approaches for return and risk prediction in the stock market using fundamental feature engineering," Bioinformatics Advances, Vol. 3, No. 1 ,pp. 1-28, 2025. git, pdf
• Majidifar Sh., Hooshmand M., "VCTatDot and VCTatMLP: novel deep learning models with triadic attention embeddings for synergistic drug combination prediction," Scientific Reports, Vol. 15, No. 1 ,pp. 1-17, 2025. git, pdf
• Nasiri F., Hooshmand M., "A Graph-Attention-Based Deep Learning Network for Predicting Biotech Small-Molecule Drug Interactions," Bioinformatics Advances, Vol. 5, No. 1 ,pp. 1-9, 2025. git, pdf
• Nouroozi M., Nasiri F., Hooshmand M., "A Machine Learning Framework for Drug-Drug Interaction Prediction Using SMILES Features," IEEE, 11th Int. Conf. on Web Research (ICWR), 372-377, 2025.
• Taromi A.D., Heydari S., Hooshmand M., Ramezani M., "RSAttAE: An Information-Aware Attention-based Autoencoder Recommender System," IEEE, 11th Int. Conf. on Web Research (ICWR), 378-383, 2025.
• Majidifar S., Nasiri F., Hooshmand M., "Virus Antiviral Prediction Using Machine and Deep Learning Methods," IEEE, 14th Int. Conf. on Computer and Knowledge Engineering, ICCKE2024, Mashhad, Iran, 2024.
• Nasiri F., Hooshmand M., "Machine and Deep Learning Models for Prediction of Small Molecule Biotech Drug Pairs Interactions," IEEE, 14th Int. Conf. on Computer and Knowledge Engineering, ICCKE2024, Mashhad, Iran, 2024.
• Safari A., Mokhtari N., Hooshmand M., Sadeghi S., Pahlevani P., "Evaluation of Efficient Electrocardiomatrix-based Identification Using Deep Learning Methods," IEEE, 14th Int. Conf. on Computer and Knowledge Engineering, ICCKE2024, Mashhad, Iran, 2024.
• 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 Int. Conf. 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 Int. Conf. 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 Int. Conf. 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 Int. Conf. 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 Int. Conf. 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 Int. Conf. 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 Int. Conf. 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 Int. Conf. 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 Int. Conf. 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

• 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
• Ali (Arya) Mashouf, M.Sc Student, current
• S. Mohammad H. Hashemi, M.Sc Student, current
• Erfan Mohharamzade, M.Sc Student, current
• Nasrin Heidari, M.Sc Student, current
• Faeze Karami, M.Sc Student, current
• Amir R. Pagoli, M.Sc Student, current
• Hadi Babaei, M.Sc Student, current
• Abtin Shafiei, M.Sc Student, current
• Shiva Shojaei, M.Sc Student, current
• Arian Amiri, M.Sc Student, current
• Pouya Joze Soleimani, M.Sc Student, current
• Shima Soltani, M.Sc Student, current
• Faeze Ahmadi, M.Sc Student, current
• Amir A. Moosaei, M.Sc Student, current

Graduated

• Arash Zabihain, PhD., Researcher, graduated
• Fateme Nasiri, M.Sc Student, graduated
• Mahdi Nouroozi, M.Sc Student, graduated
• Amir H. Safari, M.Sc Student, graduated
• Javad Asghari, M.Sc Student, graduated
• Shayan Majidifar, M.Sc Student, graduated
• Masih Hajsaeedi, M.Sc Student, graduated
• 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