جست‌وجوی استاد و پژوهشگر

Mohammad Hassan Kayhaniمشاهده پروفایل

دانشیار

• Heat Transfer
• Combustion
• Fluid Dynamics
• +۴ مورد دیگر

Dr. Mohammad Hassan Kayhani is an Associate Professor in the Faculty of Mechanical Engineering at Shahrood University of Technology, Iran. He holds a Ph.D. in Heat and Fluids and has established himself as a leading researcher in heat transfer, combustion, and fluid dynamics. With over 2000 citations on Google Scholar (h-index 41) and 1500+ citations on Scopus (h-index 74), his work has significantly impacted the fields of viscoelastic flow, porous media, and multiphase systems. Dr. Kayhani's research interests span a wide range of topics in thermal and fluid sciences. He specializes in heat transfer phenomena, combustion processes, two-phase flow dynamics, viscoelastic fluid behavior, and transport in porous media. His work often combines experimental, numerical, and theoretical approaches to address complex problems in energy systems, oil recovery, and thermal management. Notably, he has made significant contributions to understanding droplet dynamics, viscous fingering instabilities, and film cooling techniques for gas turbine applications. Analysis of Dr. Kayhani's recent publications reveals a strong focus on advanced fluid dynamics phenomena, particularly involving non-Newtonian and viscoelastic fluids. His work bridges fundamental fluid mechanics with practical applications in energy systems, oil recovery, and thermal management. A significant portion of his research investigates multiphase flow behavior, interfacial phenomena, and instability mechanisms in various engineering contexts. Dr. Kayhani has successfully supervised numerous graduate students, with 84 theses listed under his guidance. His students have pursued research in diverse areas including combustion, heat transfer, fluid dynamics, and energy systems. While specific grant information isn't provided in the available text, his extensive publication record and thesis supervision suggest successful research funding. His laboratory work appears to focus on experimental fluid dynamics, heat transfer measurements, and computational modeling of complex flow phenomena. The research involves advanced techniques such as lattice Boltzmann methods, experimental flow visualization, and thermal measurements in various engineering systems.

Mohammad Abdollahi Azgomiمشاهده پروفایل

استاد

• Modeling and Simulation
• Petri Nets
• Stochastic Activity Networks
• +۱۲ مورد دیگر

Mohammad Abdollahi Azgomi is a Professor of Computer Engineering at the School of Computer Engineering, Iran University of Science and Technology (IUST), where he has been serving since 2005, progressing from Assistant Professor to Associate Professor and finally to Professor in 2022. He holds multiple significant roles including Director of the Trustworthy Computing Laboratory (TwCL) since 2006, and previously served as Research Deputy of the School of Computer Engineering from 2020-2023. His academic career is complemented by extensive service on editorial boards, scientific committees, and as a PC member for numerous international conferences in security, cryptography, and computer science. Dr. Azgomi earned his Ph.D. in Computer Engineering (Software) from Sharif University of Technology in 2005 with a dissertation on 'High-Level Extensions for Stochastic Activity Networks: Theories, Tools and Applications,' supervised by Prof. Ali Movaghar. He also completed his M.S. (1996, with honors) and B.S. (1991) in Computer Engineering (Software) from the same institution, with his master's thesis focusing on 'Design and Implementation of Security Services for Computer Networks.' His research spans several interconnected domains centered around dependable and secure computing systems. Dr. Azgomi specializes in modeling and simulation techniques, particularly Petri Nets and Stochastic Activity Networks, for quantitative evaluation of system properties. His work significantly contributes to security and privacy frameworks, trust models, and dependable software design. He has pioneered approaches for evaluating cyber-physical systems security through game-theoretic models and developed frameworks for assessing software architecture quality attributes under uncertainty. Analysis of his recent publications reveals a strong research trajectory focusing on computational trust models, malware propagation dynamics in heterogeneous networks, and security evaluation of cyber-physical systems. His work demonstrates consistent application of formal methods like stochastic activity networks and Petri nets to solve complex security and dependability problems. There's a clear progression from foundational modeling techniques to sophisticated applications in cloud computing, web services security, and intrusion-tolerant systems. Best Researcher of the Year, School of Computer Engineering, IUST (2013, 2014, 2016, 2017) Best Paper Award at CSICC'12 for work on symbolic state space generation Best Paper Award at Innovations'09 for security protocol modeling Best Bachelor Thesis Supervisor (2009) Best Lecturer, IT Group, E-Learning Center (2008) Distinguished M.S. Graduate, Sharif University (1996) Dr. Azgomi has supervised an impressive number of doctoral students, with 14 Ph.D. graduates from IUST and 6 from other universities. His current teaching includes graduate courses on Dependable Software Systems and undergraduate Research Methods and Presentation. He serves on the editorial board of the CSI Journal on Computing Science and Information Technology and has been actively involved in numerous international conferences as program committee member and chair. The Trustworthy Computing Laboratory (TwCL), which Dr. Azgomi directs, focuses on rigorous engineering methodologies for evaluating dependability and security in information and communication technologies. The lab conducts research in formal methods, security modeling, dependable systems, and network security, with particular emphasis on Petri nets, stochastic activity networks, and quantitative evaluation techniques for security, privacy, and trust.

Seyed Mojtaba Mirhosseiniمشاهده پروفایل

استادیار

• Wind Energy
• Solar Energy
• Marine Wave and Tidal Energy
• +۵ مورد دیگر

Dr. Seyed Mojtaba Mirhosseini is an Assistant Professor in the Department of Energy Systems Engineering at the Faculty of New Technologies, Iran University of Science and Technology. He serves as Head of the Renewable Energy Laboratory and leads the Smart Materials in Energy Technologies Research Group. Educational Background: PhD in Energy Systems Engineering (Energy Technologies) from Aalborg University (AAU), Denmark PhD study opportunity at ETH Zurich, Switzerland MSc in Mechanical Engineering (Energy Conversion) from Isfahan University of Technology, Iran BS in Mechanical Engineering from Semnan University, Iran Dr. Mirhosseini's research spans multiple renewable energy domains with particular expertise in wind energy systems, smart materials for energy conversion, solar technologies, and marine energy. His work integrates theoretical modeling, experimental validation, and practical implementation to address challenges in renewable energy harvesting and efficiency. His research has significant applications in industrial energy recovery, particularly in cement production and other high-temperature processes. Analysis of his 15 most recent publications reveals a strong focus on thermoelectric energy harvesting from waste heat, particularly using zinc antimonide thin films, and advanced wind turbine design with emphasis on vertical axis systems. His work bridges fundamental materials science with practical engineering applications, with growing interest in wave energy conversion technologies as evidenced by his 2018-2020 publications. During his academic career, Dr. Mirhosseini graduated first in his bachelor's program, received a full scholarship for his PhD studies in Denmark, and successfully defended his doctoral thesis with an excellent grade. As Head of the Renewable Energy Laboratory, Dr. Mirhosseini oversees research in wind energy systems, smart materials for energy conversion, solar technologies, and marine energy. His Smart Materials in Energy Technologies Research Group focuses on developing novel approaches for energy harvesting from thermal gradients using advanced materials, with applications in industrial waste heat recovery and sensor powering.