Prof. Ting Zhou | Wireless Signal Processing | Best Researcher Award

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Prof. Ting Zhou | Wireless Signal Processing | Best Researcher Award

Prof . Ting Zhou, Shanghai University, China

Dr. Ting Zhou, a distinguished member of IEEE, earned her B.S. and M.S. degrees from Tsinghua University, Beijing, and completed her Ph.D. at the Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, in 2011. Currently serving as a Full Professor and Deputy Director at the School of Microelectronics, Shanghai University, she is renowned for her expertise in wireless resource management, mobility management, intelligent networking of heterogeneous wireless networks, and 6G mobile systems.Dr. Zhou’s illustrious career is marked by significant accolades, including the prestigious “Shanghai Young Scientific and Technological Talents” award in 2022. Her leadership and contributions led to securing the First Prize of the Shanghai Science and Technology Awards in both 2020 and 2022, underscoring her profound impact on advancing technological innovations in wireless communications. With a robust portfolio of research and achievements, Dr. Zhou continues to pioneer advancements in the field, driving the evolution of future wireless technologies.

Professional Profile

Education:

  • Bachelor of Science (B.S.) in Electronic Engineering
    Department of Electronic Engineering, Tsinghua University, Beijing, China, 2004
  • Master of Science (M.S.) in Electronic Engineering
    Department of Electronic Engineering, Tsinghua University, Beijing, China, 2006
  • Doctor of Philosophy (Ph.D.)
    Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, China, 2011

Work Experience:

  • Full Professor and Deputy Director
    School of Microelectronics, Shanghai University, Shanghai, China
    Prof. Ting Zhou is currently serving as a Full Professor and the Deputy Director of the School of Microelectronics at Shanghai University. Her work focuses on advanced research in wireless resource management, mobility management, intelligent networking of heterogeneous wireless networks, and 6G mobile systems.

Awards and Recognitions:

  • Shanghai Young Scientific and Technological Talents, 2022
  • First Prize of Shanghai Science and Technology Awards, 2020 and 2022

Research Interests:

  • Wireless resource management
  • Mobility management
  • Intelligent networking of heterogeneous wireless networks
  • 6G mobile systems

Publications Notes:📄

 

 

 

Mohsen Motahari-Nezhad | Signal processing | Best Researcher Award

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Dr. Mohsen Motahari-Nezhad | Signal processing | Best Researcher Award

Lecturer at Signal processing , Technical and Vocational University, Iran

Dr. Mohsen Motahari-Nezhad is an accomplished professional with a strong background in mechanical engineering. They hold a PhD in Mechanical Engineering with a focus on Applied Design from Shahid Beheshti University in Tehran, Iran. Their research interests include machinery health prognosis, heat transfer, experimental and numerical methods, FEM and CFD simulations, machine learning/artificial intelligence, remaining useful life prediction, condition monitoring, and vibration and acoustic emission analysis. In terms of work experience, Dr. Motahari-Nezhad has held various roles, including Dean of the university college, Head of the Mechanical Engineering department, and Faculty Member/Lecturer at the Technical and Vocational University in Tehran, Iran. They have also worked as an R&D Engineer/Researcher at MAPNA International Locomotive Design and Fabrication Co. in Tehran, Iran, focusing on locomotive designing and manufacturing.

Professional Profile

Education:

Dr. Mohsen Motahari-Nezhad has a diverse educational background in Mechanical Engineering. They earned a PhD in Mechanical Engineering with a focus on Applied Design from Shahid Beheshti University in Tehran, Iran. Their doctoral thesis was titled “Studying the efficiency of feature selection methods and artificial neural networks to improve the estimation of remaining useful life of an angular contact bearing using the acoustic emission,” and they achieved a grade of 18.73/20. Prior to their PhD, they completed a Master of Science in Mechanical Engineering with a specialization in Automotive Engineering and Powertrain Systems from Iran University of Science & Technology in Tehran, Iran. Their master’s thesis focused on the experimental and numerical study of contact heat transfer between an exhaust valve and its seat, and they achieved a grade of 16.67/20. Dr. Motahari-Nezhad’s academic journey began with a Bachelor of Science in Mechanical Engineering with Honors in Applied Design from the University of Sistan & Balouchestan in Zahedan, Iran. Their undergraduate thesis focused on the design, modeling, and fabrication of an inchworm piezoelectric linear motor, and they achieved a grade of 15.32/20.

Research Interests:

Dr. Mohsen Motahari-Nezhad’s research interests encompass a wide range of topics in Mechanical Engineering. They are particularly interested in Machinery Health Prognosis, focusing on predicting the remaining useful life of machines. Their research also includes Heat Transfer, where they study experimental and numerical methods to enhance understanding. They are proficient in Finite Element Method (FEM) and Computational Fluid Dynamics (CFD) simulations, using these tools for various analyses. Additionally, they are interested in applying Machine Learning and Artificial Intelligence techniques to mechanical systems, especially for condition monitoring and vibration analysis using methods such as Acoustic Emission.

Work Experiences:

Dr. Mohsen Motahari-Nezhad has a rich and diverse work experience in both academia and industry. Currently, they hold the positions of Dean of the university college, Head of the Mechanical Engineering department, and Faculty Member/Lecturer at the Technical and Vocational University in Tehran, Iran, starting from August 2022. Prior to this, from April 2016 to January 2020, they worked as an R&D Engineer/Researcher at MAPNA International Locomotive Design and Fabrication Co. in Tehran, Iran. In this role, they were involved in locomotive designing and manufacturing, as well as the design of diesel engine test rooms and industrial containers HVAC systems. From February 2013 to May 2014, Dr. Motahari-Nezhad worked as an R&D Engineer/Researcher at Iran Data Center Research Center Co. in Tehran, Iran, focusing on cooling systems designing and documentation. They also have teaching experience, serving as a Lecturer at Zabol University in Zabol, Iran, from September 2016 to January 2018, and at the Islamic Azad University of Pardis in Tehran, Iran, from September 2014 to January 2015.

Teaching Experiences:

Dr. Mohsen Motahari-Nezhad has extensive teaching experience in various universities and institutes. In 2014, at the Islamic Azad University, Pardis Branch, they taught courses such as Automatic Power Transmission Workshop, Manual Power Transmission Workshop, and Chassis and Body Workshop. In 2015, at the Technical and Vocational University, Zabol Branch, they taught Automotive Electrical and Electronic Systems Technology and Vehicle Guidance and Control Systems Technology. From 2016 to 2017, at Zabol University, they taught courses including Strength of Materials 1 and 2, Fuel and Combustion, Heat Exchangers, Machine Dynamics, Automatic Control, and Computer-Aided Design and Manufacturing. Currently, at the Technical and Vocational University, Zabol Branch, since 2020, they teach courses such as Thermodynamics, Heat Transfer, Vehicle Power Transmission Workshop 1 and 2, Repair Shop Management, Technical Language, Automatic Power Transmission Workshop, Multiplex Technology, Fuel Technologies, Dynamics, Principles of Engine Design, and Strength of Materials.

Awards and Memberships:

Dr. Mohsen Motahari-Nezhad has received several awards and is an active member of various professional associations. In 2023, they successfully defended their PhD thesis with an exceptional grade of A+ (19.25/20) at Shahid Beheshti University in Tehran, Iran. In 2021, they were honored as the “Top Researcher of the Year” at the Technical and Vocational University, Sistan and Baluchestan Branch, Iran. Similarly, in 2014, they received the “Top Researcher of the Year” award at Iran University of Science and Technology in Tehran, Iran. Their academic achievements also include the award of their M.Sc. thesis with an outstanding grade of A+ (19.5/20) in 2013 at Iran University of Science and Technology, and the defense of their B.Sc. thesis with an excellent grade of A+ (19/20) in 2011 at the University of Sistan and Balouchestan in Zahedan, Iran. Furthermore, Dr. Motahari-Nezhad is an active member of several professional organizations. Since 2014, they have been a member of the International Association of Computer Science and Information Technology (IACSIT), holding membership number 80348752. They are also a member of the International Association of Engineers (IAENG) since 2017, with membership number 135345. Additionally, from 2014 to 2017, they were a student member of the Institute of Research Engineers and Doctors (IRED), with membership number SM1009343.

Skills:

Dr. Mohsen Motahari-Nezhad is proficient in English, with a TOEFL iBT score of 87/120 and an Iranian English Language Testing (MSRT-MCHE) score of 71/100. Their mother tongue is Farsi. In terms of technical and software skills, they are advanced in SolidWorks, AutoCAD, CATIA, Ansys Fluent, and MATLAB. They are also familiar with Python, Ansys Structural & Abaqus, C++, Fortran, TRNSYS, and OpenFoam.

Publications:

Bearing Remaining Useful Life Prediction under Starved Lubricating Condition Using Time Domain Acoustic Emission Signal Processing

Authors: M Motahari-Nezhad, SM Jafari

Journal: Expert Systems with Applications

Citations: 58

Year: 2021

A Detailed Study of Oxy-fuel Combustion of Biomass in a Circulating Fluidized Bed (CFB) Combustor: Evaluation of Catalytic Performance of Metal Nanoparticles (Al, Ni) for…

Authors: W Peng, Z Liu, M Motahari-Nezhad, M Banisaeed, S Shahraki, …

Journal: Energy

Citations: 48

Year: 2016

Circulating Fluidized Bed Gasification of Biomass for Flexible End-use of Syngas: A Micro and Nano Scale Study for Production of Bio-methanol

Authors: Z Liu, W Peng, M Motahari-Nezhad, S Shahraki, M Beheshti

Journal: Journal of Cleaner Production

Citations: 33

Year: 2016

ANFIS System for Prognosis of Dynamometer High-speed Ball Bearing Based on Frequency Domain Acoustic Emission Signals

Authors: M Motahari-Nezhad, SM Jafari

Journal: Measurement

Citations: 31

Year: 2020

An Adaptive Neuro-Fuzzy Inference System (ANFIS) Model for Prediction of Thermal Contact Conductance Between Exhaust Valve and its Seat

Authors: M Motahari-Nezhad, MS Mazidi

Journal: Applied Thermal Engineering

Citations: 25

Year: 2016

Studying the Transient Thermal Contact Conductance Between the Exhaust Valve and its Seat Using the Inverse Method

Authors: MM Nezhad, MH Shojaeefard, S Shahraki

Journal: International Journal of Thermophysics

Citations: 15

Year: 2016

Comparison of MLP and RBF Neural Networks for Bearing Remaining Useful Life Prediction Based on Acoustic Emission

Authors: M Motahari-Nezhad, SM Jafari

Journal: Proceedings of the Institution of Mechanical Engineers, Part J: Journal of …

Citations: 8

Year: 2023

Experimental Analysis of Pyrolysis of Sewage Sludge

Authors: S Shahraki, M Miri, M Motahari-Nezhad

Journal: Energy Sources, Part A: Recovery, Utilization, and Environmental Effects

Citations: 8

Year: 2018

A Review on the Effects of Different Parameters on Contact Heat Transfer

Authors: H Abdollahi, S Shahraki, M Motahari-Nezhad

Journal: Thermophysics and Aeromechanics

Citations: 8

Year: 2017

Aspen Plus Simulation of Heavy Oil Gasification in a Fluidized Bed Gasifier

Authors: X Yang, A Hamidzadeh, M Ilkhani, A Foroughi, MJ Esfahani, …

Journal: Petroleum Science and Technology

Citations: 7

Year: 2016