Rouholla Bagheri| Deep Learning | Best Researcher Award

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Assoc Prof Dr. Rouholla Bagheri | Thermodynamics | Best Researcher Award

Assoc Prof Dr. Ferdowsi University of Mashhad Iran

Dr. Rouholla Bagheri is an Assistant Professor in the Department of Management at Ferdowsi University of Mashhad, Iran. He holds a Ph.D. in Systems Management from Shahid Beheshti University, focusing on knowledge networks in the automotive sector. With a distinguished academic record, Dr. Bagheri has received numerous awards, including the 26th National Outstanding Student Award. His research interests span IoT healthcare systems, supply chain networks, and multi-objective optimization. An active member of various professional associations, he has published extensively in peer-reviewed journals, contributing significantly to the fields of information systems and management.

 

Publication profile

 

🎓 Educational Background

Ph.D. in Systems Management (2013-2018) Shahid Beheshti University, Iran Dissertation: Design a Model of Developing Knowledge Networks in the Car Engine Research Center, GPA: A+. MBA (2012) Amirkabir University, Iran, GPA: A. B.Eng. in Computer Software Engineering (2005)
Bahonar University, Iran, GPA: B

đź“š Current Professional Memberships

Member, International Scientific Committee and Editorial Review Board, World Academy of Science, Engineering, and Technology. Member, Council of Knowledge Management in Iran. Member, AIS (Association for Information Systems) of Iran. Member, AKS (Association for Knowledge Management) of Iran. Head, Business Intelligence Department, Association of Management of Iran

🏆 Honors and Awards

Distinguished Assistant Professor, Ferdowsi University (2022). National Outstanding Student Award Winner (2012, 2017). National Science Foundation Award (2013). Book of the Year Award in Information Systems and Management (2010)

Publication

    1. Assessing dimensions influencing IoT implementation readiness in industries: A fuzzy DEMATEL and fuzzy AHP analysis
      Authors: MZ Nezhad, J Nazarian-Jashnabadi, J Rezazadeh, M Mehraeen, …
      Year: 2023

     

    1. BERT-deep CNN: State of the art for sentiment analysis of COVID-19 tweets
      Authors: JH Joloudari, S Hussain, MA Nematollahi, R Bagheri, F Fazl, …
      Year: 2023

     

    1. The mediator role of KM process for creative organizational learning case study: knowledge based companies
      Authors: R Bagheri, MR Hamidizadeh, P Sabbagh
      Year: 2015

     

    1. Examining the impact of product innovation and pricing capability on the international performance of exporting companies with the mediating role of competitive advantage
      Authors: J Rezazadeh, R Bagheri, S Karimi, J Nazarian-Jashnabadi, MZ Nezhad
      Year: 2023

     

    1. The relationship of knowledge management and organizational performance in Science and Technology Parks of Iran
      Authors: MA Haghighi, R Bagheri, PS Kalat
      Year: 2015

     

    1. The Evaluation of Knowledge Management Maturity Level in a Research Organization
      Authors: R Bagheri, P Eslami, S Mirfakhraee, M Yarjanli
      Year: 2013

     

    1. Factors affecting the implementation of the blue ocean strategy: A case study of Medicom production manufacturing company
      Authors: R Bagheri, SP Eslami, M Yarjanli, N Ghafoorifard
      Year: 2013

     

    1. Modelling the factors affecting the implementation of knowledge networks
      Authors: A Rezaeian, R Bagheri
      Year: 2017

     

    1. Revolutionizing supply chain sustainability: An additive manufacturing-enabled optimization model for minimizing waste and costs
      Authors: P Roozkhosh, A Pooya, O Soleimani Fard, R Bagheri
      Year: 2024

     

    1. Robust cooperative maximal covering location problem: A case study of the locating Tele-Taxi stations in Tabriz, Iran
      Authors: H Rezazadeh, S Moghtased-Azar, MS Kisomi, R Bagheri
      Year: 2018

     

    1. Examining the Relationship between organizational Climate and Entrepreneurship with regard to Staff’s Locus of Control in Industry Companies in Iran
      Authors: R Bagheri, M Yarjanli, R Mowlanapour, N Mahdinasab
      Year: 2016

     

    1. Investigating the Effect of Perceived Ethical Leadership on Knowledge Hiding: A Case Study on an Automobile Factory
      Authors: F Imani, G Eslami, R Bagheri
      Year: 2022

    Conclusion 🎓

    Rouholla Bagheri exemplifies the qualities of a strong candidate for the Best Researcher Award, with a robust educational background, a significant publication portfolio, and numerous accolades. By focusing on applied research, enhancing collaborative efforts, and increasing public engagement, he can further amplify his impact in the field of information systems and management. His dedication to advancing knowledge and fostering innovation positions him as a valuable asset to academia and beyond.

Kiana Peyvandi | Thermodynamics | Best Researcher Award

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Assoc Prof Dr. Kiana Peyvandi | Thermodynamics | Best Researcher Award

Assoc Prof Dr. Semnan University,  Iran

Dr. K. Peyvandy is an Associate Professor of Chemical Engineering at Semnan University, Iran. Born on January 23, 1978, he has expertise in thermodynamics, gas hydrate kinetics, and water treatment technologies. With a strong academic background, Dr. Peyvandy has held several key roles at Semnan University, including Vice-Chancellor for Research and Technology. His research focuses on oil pipeline scaling, gas hydrate formation, and eco-friendly methods for methane recovery. He is a published author of numerous papers and actively contributes to innovative chemical engineering solutions.

 

Publication profile

 

🎓 Education

BSc (2000): Chemical Engineering, Amirkabir University, Iran. MS (2005): Chemical Engineering, Mazandaran University, Iran. PhD (2012): Chemical Engineering, Tarbiat Modares University, Iran

đź’Ľ Experience

Associate Professor (2020-present): Faculty of Chemical, Petroleum, and Gas Engineering, Semnan University, Iran. Assistant Professor (2013-2020): Faculty of Chemical, Petroleum, and Gas Engineering, Semnan University. Executive Director: Chemical Engineering Group (2014-2018). Vice-Chancellor for Research and Technology (2018-2023): Semnan University

🏆 Awards and Honors

Distinguished Academic Award: Recognized by Semnan University for contributions to research in chemical engineering. Outstanding Research Grant: Secured multiple grants for research on gas hydrate technology and environmental solutions. Innovative Research Recognition: For advancements in CO2 capture and methane recovery processes. Faculty Leadership Award: For his service as Vice-Chancellor for Research and Technology.

🔬 Research Focus

Gas Hydrate Kinetics: Studying the formation, decomposition, and use of gas hydrates for energy storage and environmental applications. Methane and CO2 Replacement: Developing eco-friendly promoters for methane recovery and CO2 capture in porous media. Water Treatment Solutions: Investigating new adsorbents and technologies for water harvesting and treatment. Nanotechnology in Drug Delivery: Researching the use of surfactant solutions and niosomes as carriers of drugs using gas hydrate methods.

Publication

  1. Molecular dynamics simulation of methane hydrate formation in presence and absence of amino acid inhibitors
    Authors: M Maddah, M Maddah, K Peyvandi
    Year: 2018

 

  1. Kinetic study of amino acids inhibition potential of glycine and L-leucine on the ethane hydrate formation
    Authors: SA Rad, KR Khodaverdiloo, M Karamoddin, F Varaminian, K Peyvandi
    Year: 2015

 

  1. Electrolyte-UNIQUAC-NRF model for the correlation of the mean activity coefficient of electrolyte solutions
    Authors: A Haghtalab, K Peyvandi
    Year: 2009

 

  1. Study of biosurfactant effects on methane recovery from gas hydrate by CO2 replacement and depressurization
    Authors: A Heydari, K Peyvandi
    Year: 2020

 

  1. Challenges and advantages of using environmentally friendly kinetic gas hydrate inhibitors for flow assurance application: A comprehensive review
    Authors: A Farhadian, A Shadloo, X Zhao, RS Pavelyev, K Peyvandi, Z Qiu, …
    Year: 2023

 

  1. Reconsideration of the micellization theory: Promotion or inhibition of gas hydrate formation for gas storage and flow assurance applications
    Authors: A Farhadian, P Naeiji, MA Varfolomeev, K Peyvandi, AG Kiiamov
    Year: 2022

 

  1. Modeling the viscosity of pure imidazolium-based ionic liquids using SAFT-VR-Mie EoS
    Authors: M Abolala, K Peyvandi, F Varaminian
    Year: 2015

Anmin Xu | Transport Protocol | Best Researcher Award

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Dr. Anmin Xu | Transport Protocol | Best Researcher Award 

Dr at  Huawei , China

Dr. Anmin Xu is a Senior Engineer at Huawei’s 2012 Central Research Institute, specializing in network technology. He holds a Ph.D. in Computer Science and Technology from Tsinghua University. Dr. Xu has contributed to cutting-edge advancements in wide area networks (WAN), transport protocols, and AI network transmission. His work includes key developments in HarmonyOS network protocol stack and AI computing network transmission technology. With a strong academic and professional foundation, Dr. Xu continues to innovate in the networking field, driving significant research efforts at Huawei.

 

Publication profile

Scopus

 

🎓 Education:

Bachelor’s Degree: Dr. Anmin Xu completed his Bachelor’s in Computer Science and Technology from Jiaotong University, Beijing, from 2010 to 2014, laying the groundwork for his technical expertise in computer systems and networking. Doctorate: He pursued his Ph.D. at the prestigious Tsinghua University, specializing in Computer Science and Technology, graduating in 2019. His doctoral research focused on advanced networking algorithms and transport protocols, setting a strong foundation for his professional career.

đź’Ľ Experience:

Huawei (Current): Dr. Xu works as a Senior Engineer at Huawei’s 2012 Central Research Institute-Network Technology Lab. His focus is on the HarmonyOS network protocol stack and AI computing network transmission technology, contributing to Huawei’s groundbreaking advancements. Tsinghua University (2014-2019): During his doctoral studies, he engaged in research related to WAN and congestion control algorithms. Jiaotong University (2010-2014): As an undergraduate, he studied computer science fundamentals that helped build the basis for his future career.

🏆 Awards and Honors:

Huawei Senior Engineer Recognition: Dr. Xu was recognized for his contributions to network technology and AI-based network transmission within Huawei. Ph.D. with Distinction: Awarded distinction during his Ph.D. studies at Tsinghua University for outstanding research contributions. HarmonyOS Development Contributions: Acknowledged by Huawei for his work on HarmonyOS’s network protocol innovations. Top Researcher: Recognized among the top researchers in Huawei’s Network Technology Lab for contributions to WAN optimization and transport protocols.

🔬 Research Focus:

WAN Optimization: Dr. Xu specializes in wide area network optimization and improving the efficiency of data transmission over large networks. Congestion Control Algorithms: His research delves into algorithms that manage network congestion, ensuring faster, more reliable data flow. Transport Protocols: He is involved in the development of transport protocols for next-generation networks, ensuring seamless communication in complex systems. AI-driven Network Technologies: Dr. Xu’s recent focus is on AI computing network transmission, improving network performance using artificial intelligence techniques.

Publication

  1. DRTP: A generic Differentiated Reliable Transport Protocol
    Authors: Ren, Y., Zhang, Y., Yin, M., Kaafar, M.A., Xie, G.
    Journal: Computer Communications, 2024, Vol. 226-227, Article No. 107921
    Citations: 0

 

  1. AdaptaCC: A Highly Scalable Proactive Congestion Control for Hyper-speed Networks
    Authors: Sun, J., Ren, H., Yuan, D., Li, C., Xu, A.
    Conference: Proceedings – 2023 IEEE International Conference on High Performance Computing and Communications, Data Science and Systems, Smart City and Dependability in Sensor, Cloud and Big Data Systems and Application, HPCC/DSS/SmartCity/DependSys 2023, 2023, pp. 185–193
    Citations: 0