Dr. Mozhgan Khanjanianpak | Biological Networks | Best Researcher Award
Institute for Advanced Studies in Basic Sciences (IASBS) | Iran
Author Profile
🌟 MOZHGAN KHANJANIANPAK: PIONEER IN COMPLEX SYSTEMS AND NEURAL DYNAMICS 🌐🧠
🎓EARLY ACADEMIC PURSUITS
Mozhgan Khanjanianpak’s academic journey began with a deep interest in solid-state physics, earning her Bachelor of Science in Physics from Bu-Ali Sina University, Hamedan, Iran (2000–2004), where she ranked 1st among her peers. She continued at the same institution for her Master’s in Physics (2005–2007), conducting a detailed thesis on BISCCO compounds under the supervision of Prof. Manouchehr Babaeipour. Demonstrating academic excellence throughout, she later secured 31st rank in the national Ph.D. entrance exam and was eventually ranked 1st in her cohort during her doctoral studies. Her Ph.D. (2016–2022) at the Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan, focused on the coupled dynamics of disease spreading and other dynamical processes on complex networks under the guidance of Prof. Nahid Azimi.
💼PROFESSIONAL ENDEAVORS
Mozhgan’s career spans both academia and research institutions. From 2008 to 2016, she lectured at multiple Iranian universities, including Bu-Ali Sina University, Azad University, and Payame-Noor University, covering courses such as Modern Physics, Statistical Mechanics, and Thermodynamics. Her expertise and passion for complex systems led her to her current positions as a Post-doctoral Researcher at IASBS and a Researcher at the Pasargad Institute for Advanced Innovative Solutions (PIAIS), Tehran, where she actively engages in theoretical and applied studies in physics and neuroscience.
🔬CONTRIBUTIONS AND RESEARCH FOCUS ON BIOLOGICAL NETWORKS
Mozhgan's work focuses on Theoretical Neuroscience, Complex Networks, Dynamical Systems, and Evolutionary Game Theory. She investigates how brain oscillations, neural dynamics, and epidemic spread models interrelate with information processing and decision-making in biological systems. Her interdisciplinary approach connects physics with biological and social phenomena, making her research highly relevant in today’s data-driven, health-conscious world.
🌍IMPACT AND INFLUENCE
Mozhgan has made significant strides in both national and international academic arenas. She has attended prestigious schools such as the Mediterranean School of Complex Networks (Italy) and participated in collaborative research at the University of Zaragoza (Spain). Her ability to integrate mathematical models with real-world applications has contributed to the understanding of nonlinear systems and complex adaptive behaviors in networks — areas critical to epidemiology, artificial intelligence, and brain science.
🏅ACADEMIC CITES AND RECOGNITION
She has been funded by reputed institutions including the Ministry of Science, Research and Technology (Iran), IASBS, and the Iran Science Elites Federation, to support her academic travel and collaborative research efforts. Her ranking as the top Ph.D. student at IASBS in 2022 and several scientific travel grants underscore her research value and dedication to continuous learning and knowledge dissemination.
🔮LEGACY AND FUTURE CONTRIBUTIONS
Mozhgan Khanjanianpak’s trajectory signifies a legacy of blending theoretical physics with real-world complexity, especially in understanding how individual and systemic behaviors influence collective outcomes — from neural networks to epidemic dynamics. Her future work promises to delve deeper into neuro-inspired computing models, interdisciplinary data interpretation, and policy-supporting simulations for public health and education systems. With her multilingual ability (Persian, English, Spanish), programming skills (C++, Python), and teaching prowess, she stands as a formidable figure in nurturing scientific innovation and global collaboration.
📑NOTABLE PUBLICATIONS
"Optimizing information capacity in modular neural networks through excitatory and inhibitory connectivity"
- Author:Mozhgan Khanjanianpak; Alireza Valizadeh
- Journal: Neurocomputing
- Year: 2025
"Control of cascading failures using protective measures"
- Author: Davood Fazli; Mozhgan Khanjanianpak; Nahid Azimi-Tafreshi
- Journal: Scientific Reports
- Year: 2024
"Emergence of Complex Oscillatory Dynamics in the Neuronal Networks with Long Activity Time of Inhibitory Synapses"
- Author: Khanjanianpak, M.; Azimi-Tafreshi, N.; Valizadeh, A.
- Journal: SSRN
- Year: 2023
"Emergence of protective behaviour under different risk perceptions to disease spreading"
- Author:Mozhgan Khanjanianpak; Nahid Azimi-Tafreshi; Alex Arenas; Jesús Gómez-Gardeñes
- Journal: Physical and Engineering Sciences
- Year: 2022
"Competition between vaccination and disease spreading"
- Author:Khanjanianpak, M.; Azimi-Tafreshi, N.; Castellano, C.
- Journal: arXiv
- Year: 2020