Mr. Feng Wang | Computational Analysis | Best Researcher Award

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Mr. Feng Wang | Computational Analysis | Best Researcher Award

Mr. Feng Wang, China Three Gorges University, China

Mr. Feng Wang is an Associate Professor at China Three Gorges University, specializing in bridge and tunnel engineering. With a Ph.D. from Wuhan University of Technology, he has conducted groundbreaking research on nonlinear dynamic responses of long-span cable structures. His work has been applied in major engineering projects, contributing significantly to seismic design and wind/ice resistance of overhead transmission lines. As a visiting scholar at The University of Queensland, he collaborated with leading experts to enhance computational analysis methods. With over 50 academic publications and 60 patents, Mr. Wang’s contributions have had a lasting impact on structural engineering. His interdisciplinary approach integrates AI-driven assessment models, vibration suppression techniques, and disaster protection strategies, making him a leader in modern civil engineering. Recognized with multiple teaching awards, he continues to mentor young engineers while advancing critical infrastructure development. 🚀🏗️

🌏 Professional Profile

Orcid

🏆 Suitability for Best Researcher Award 

Mr. Feng Wang is a highly accomplished researcher whose work in structural engineering has led to significant advancements in bridge safety, vibration control, and AI-driven assessment models. His contributions address critical engineering challenges, including dynamic catastrophe protection and seismic resistance for large-scale structures. Having led and participated in over 30 research projects funded by prestigious organizations, he has demonstrated exceptional expertise and innovation. His 50+ publications in high-impact journals, 60 patents, and multiple software copyrights reflect his leadership in applied research. His work aligns with global infrastructure development strategies, including the Belt and Road Initiative. Additionally, his recognition as an “Excellent Instructor” underscores his dedication to academia. Mr. Wang’s research not only pushes theoretical boundaries but also translates into real-world applications, making him an outstanding candidate for the Best Researcher Award. 🏅🔬

📚 Education

  • Ph.D. in Bridge and Tunnel Engineering (2007–2010) – Wuhan University of Technology 🎓

    • Dissertation: “Geometric Nonlinear Analysis of Long-Span Three-Tower Composite Girder Cable-Stayed Bridges”
    • Awarded Outstanding PhD Dissertation Award
    • Supervised by Prof. Liu Muyu, Director of the Hubei Provincial Key Laboratory of Road and Bridge Engineering

  • Visiting Scholar (2019–2020) – The University of Queensland, Australia 🌏

    • Fully funded by the China Scholarship Council
    • Collaborated with Prof. Chien Ming Wang on nonlinear dynamics of long-span cable structures

His education provided a strong foundation in computational mechanics, structural stability, and interdisciplinary engineering applications, enabling his impactful research in bridge safety and AI-driven assessment methods. 🎓📖

👨‍🔬 Experience 

  • Associate Professor, China Three Gorges University (2015–Present) 🏗️

    • Conducts research in bridge engineering, computational analysis, and AI-driven infrastructure assessment
    • Supervises Master’s students in civil and electrical engineering

  • Lecturer, China Three Gorges University (2011–2015) 📚

    • Promoted to Associate Professor in 2015

  • Assistant Engineer, China Communications Construction Company (2002–2004) 🚧

    • Worked on highway base and surface construction

  • Visiting Researcher, The University of Queensland (2019–2020) 🌏

    • Specialized in long-span cable structure dynamics

With over two decades of experience in academia and industry, Mr. Wang has contributed to major engineering projects and advanced computational methods in structural analysis. 🔍🏗️

🏅 Awards and Honors

  • Outstanding PhD Dissertation Award (2010) – Wuhan University of Technology 🎓🏆
  • Excellent Instructor Award (2014, 2017, 2018) – “Gaojiao Cup” National College Students’ Advanced Drawing Technology Competition 🏅👨‍🏫
  • National Natural Science Foundation of China (NSFC) Grant Recipient – Led multiple funded research projects 💰🔬
  • China Scholarship Council Award (2019–2020) – Fully funded visiting scholar at The University of Queensland 🇨🇳🌏
  • 60+ Patents & 5 Software Copyrights – Innovations in bridge engineering, AI models, and disaster protection 🏗️💡

Mr. Wang’s recognitions highlight his research excellence, innovation, and contributions to structural engineering and education. 🌟🎖️

🔬 Research Focus 

Mr. Feng Wang’s research revolves around computational structural analysis, AI-driven assessment models, and disaster protection technologies for large-scale infrastructure. His work in geometric nonlinear analysis enhances bridge safety and longevity, while his vibration suppression techniques improve the stability of ultra-long stay cables. He has pioneered AI-based models to assess bridge components, ensuring optimal maintenance and damage prevention. His research extends to dynamic catastrophe protection, helping safeguard overhead transmission lines from extreme environmental conditions. 🌉💡

By integrating Big Data Analytics, AI, and engineering mechanics, he develops predictive models that optimize bridge resilience. His interdisciplinary approach aligns with China’s Belt and Road Initiative, focusing on sustainable infrastructure. His contributions advance both fundamental research and practical applications, making a lasting impact on structural engineering. 🏗️🔍

Publication Top Notes:

Title : Coupled Parametric Vibration Model and Response Analysis of Single Beam and Double Cable Under Deterministic Harmonic and Random Excitation
Published Year : 2024

 

 

 

Mr. Ashok Yadav | Computational Intelligence | Best Researcher Award

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Mr. Ashok Yadav | Computational Intelligence | Best Researcher Award

Mr. Ashok Yadav, Indian Institute of Information Technology Allahabad, India

Mr. Ashok Yadav is a distinguished researcher in the field of cybersecurity, natural language processing (NLP), social network analysis, and offensive content detection. He holds a Ph.D. from the Indian Institute of Information Technology Allahabad, where his thesis focused on detecting and countering offensive content. Mr. Yadav also completed his M.Tech. in Cyber Security from AKTU Lucknow, specializing in intrusion detection and prevention in wireless sensor networks. He holds a B.Tech. in Computer Science from the School of Management Sciences, Lucknow. With a deep interest in cybercrime, OSINT (Open Source Intelligence), and hate speech, Mr. Yadav has contributed significantly to the academic and practical understanding of these areas. His work spans across multiple domains, including deep learning, computational intelligence, and social media networks. Mr. Yadav is actively involved in academic conferences and serves as a reviewer for several prestigious journals. 🖥️🔐📚

Professional Profile

Google Scholar

Suitability for Award 

Mr. Ashok Yadav is highly suitable for the Research for Best Researcher Award due to his outstanding contributions to cybersecurity, NLP, and social network analysis. His research on offensive content detection, tracking, and counter-generation has had a significant impact on mitigating cyber threats and addressing harmful speech on digital platforms. Mr. Yadav’s deep understanding of emerging technologies such as deep learning, OSINT, and computational intelligence positions him as a leader in his field. His active participation in global conferences like the ACL and his role as a reviewer for notable journals further highlight his academic influence. Mr. Yadav’s commitment to advancing cybersecurity and his contributions to combating hate speech and cybercrime make him a deserving candidate for this prestigious award. His research not only addresses current challenges in cybersecurity but also provides innovative solutions for the future. 🏆💻🌍

Education

Mr. Ashok Yadav has a strong academic background, with a focus on cybersecurity, NLP, and social network analysis. He completed his Ph.D. in Computer Science from the Indian Institute of Information Technology Allahabad in 2021, specializing in offensive content detection and tracking. His doctoral thesis, titled Offensive Content Detection, Tracking, and Counter Generation, reflects his expertise in combating harmful speech in digital environments. Prior to his Ph.D., Mr. Yadav earned an M.Tech. in Cyber Security from AKTU Lucknow, where his research on intrusion detection and prevention in wireless sensor networks earned recognition. He also holds a B.Tech. in Computer Science from the School of Management Sciences, Lucknow. Mr. Yadav’s academic journey is complemented by certifications from the SANS Institute, including training in Cyber Threat Intelligence, Digital Forensics, and Open-Source Intelligence. His educational background has equipped him with a deep understanding of both theoretical and practical aspects of cybersecurity. 🎓💡🔐

Experience 

Mr. Ashok Yadav has extensive experience in both academia and industry, particularly in the fields of cybersecurity, NLP, and social network analysis. He is currently pursuing advanced research in offensive content detection, hate speech, and cybercrime. His professional journey includes serving as a reviewer for several prestigious journals, such as the Cloud Computing and Data Science Journal and the International Research Journal of Multidisciplinary Technovation. Mr. Yadav has also been actively involved in international conferences, including the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), where he contributed to the main track and demonstration track. He has attended various SANS Institute training summits, enhancing his expertise in Cyber Threat Intelligence, Digital Forensics, and Open-Source Intelligence. Mr. Yadav’s practical experience in cybersecurity and his contributions to the academic community make him a valuable asset in his field. 💼🌐🔍

Awards and Honors

Mr. Ashok Yadav has received several prestigious certifications and accolades for his contributions to cybersecurity and digital forensics. He was awarded the Gate Qualification in Computer Science and Information Technology in 2019, demonstrating his expertise in the field. In 2020, he qualified for the UGC-Net Assistant Professor in Computer Science and Application. Mr. Yadav’s active participation in high-profile conferences such as the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), where he was an attendee, further highlights his academic recognition. He has also been recognized for his contributions as a reviewer for prominent journals, including the Cloud Computing and Data Science Journal and the International Research Journal of Multidisciplinary Technovation. Additionally, Mr. Yadav has earned multiple certifications from the SANS Institute in Cyber Threat Intelligence, Digital Forensics, and Open-Source Intelligence, further solidifying his standing in the cybersecurity community. 🏅🎖️🌟

Research Focus 

Mr. Ashok Yadav’s research focus lies at the intersection of cybersecurity, natural language processing (NLP), social network analysis, and offensive content detection. His work on detecting and countering hate speech and offensive content on digital platforms addresses a growing concern in today’s internet-driven society. His Ph.D. research on Offensive Content Detection, Tracking, and Counter Generation has contributed significantly to the development of automated systems that can identify and mitigate harmful speech online. Mr. Yadav is also deeply involved in exploring the use of deep learning, computational intelligence, and OSINT (Open-Source Intelligence) in the detection of cyber threats and cybercrime. His research aims to create innovative solutions for tackling the challenges posed by cyberattacks, misinformation, and online hate speech. Through his work, Mr. Yadav seeks to enhance the security and integrity of online spaces, making them safer for users. 🔐💻🧠

Publication Top Notes

  • Title: Open-source Intelligence: A Comprehensive Review of the Current State, Applications, and Future Perspectives in Cyber Security
    • Cited by: 32
    • Year: 2023
  • Title: Intrusion Detection and Prevention Using RNN in WSN
    • Cited by: 12
    • Year: 2022
  • Title: Detecting SQL Injection Attack Using Natural Language Processing
    • Cited by: 8
    • Year: 2022
  • Title: Detecting Malware in Android Applications by Using Androguard Tool and XGBoost Algorithm
    • Cited by: 2
    • Year: 2022
  • Title: HateFusion: Harnessing Attention-Based Techniques for Enhanced Filtering and Detection of Implicit Hate Speech
    • Year: 2024

 

Muhammad Imran Khan | Machine Learning | Young Scientist Award

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Muhammad Imran Khan | Machine Learning | Young Scientist Award

Dr. Muhammad Imran Khan, International Islamic University Islamabad Pakistan, Pakistan.

Publication profile

Scopus

Education And Experiance

  • 📘 Ph.D. in Applied Mathematics (Expected August 2024): International Islamic University Islamabad, Pakistan.
  • 📗 M.Sc. in Computational Mathematics (2019): COMSATS University Islamabad, Pakistan.
  • 📙 Bachelor’s in Applied Mathematics (2016): University of Sargodha, Pakistan.
  • 📒 FSc (2012): Federal Board of Intermediate and Secondary Education, Islamabad, Pakistan.
  • 📕 Metric (2010): Sargodha Board of Intermediate and Secondary Education.

Suitability For The Award

Dr. Muhammad Imran Khan is an outstanding candidate for the Young Scientist Award, characterized by his profound academic journey, versatile skill set, and commitment to advancing mathematical research. His focus on applied mathematics, specifically in the area of partial differential equations (PDEs) and computational methods, positions him as a promising young researcher. His proficiency in machine learning, deep learning, and advanced scientific software highlights his ability to integrate modern computational tools into mathematical problem-solving, making him an asset to the scientific community.

Professional Development 

Muhammad Imran Khan 🔬 thrives on leveraging mathematics to address real-world challenges. His proficiency spans advanced numerical analysis, machine learning, and deep learning 🧠, alongside extensive experience with scientific software tools such as DUNE PDELab and ANSYS 🔧. Skilled in Python and C++, he applies computational methods to explore innovative solutions for diverse fields. Muhammad actively advocates for mathematical research 📊, engaging with decision-makers and fostering collaboration to enhance knowledge dissemination. He envisions a future where mathematics drives practical advancements, supporting both academic growth and societal progress 🚀.

Research Focus 

Awards and Honors

  • 🏅 Merit-Based Scholarship: For outstanding academic performance during M.Sc. at COMSATS University.
  • 🏆 Best Research Poster Award: Recognized at a national mathematics conference for innovative work on PDE applications.
  • 🎖️ Distinction in FSc: Achieved top honors in Federal Board examinations.
  • 🌟 Programming Excellence Certificate: Awarded for proficiency in Python and C++ during Ph.D. coursework.
  • 📜 Recognition of Contribution: For active participation in research collaboration projects at International Islamic University Islamabad.

Publoication Top Notes

  • Integrated Artificial Intelligence and Non-Similar Analysis for Forced Convection of Radially Magnetized Ternary Hybrid Nanofluid of Carreau-Yasuda Fluid Model Over a Curved Stretching Surface (2024) 🧠
  • Advanced Intelligent Computing ANN for Momentum, Thermal, and Concentration Boundary Layers in Plasma Electro Hydrodynamics Burgers Fluid (2024) – Cited by: 0 🤖
  • Analysis of Nonlinear Complex Heat Transfer MHD Flow of Jeffrey Nanofluid Over an Exponentially Stretching Sheet via Three Phase Artificial Intelligence and Machine Learning Techniques (2024) 🔥
  • Modeling and Predicting Heat Transfer Performance in Bioconvection Flow Around a Circular Cylinder Using an Artificial Neural Network Approach (2024) 🌡️
  • Advanced Computational Framework to Analyze the Stability of Non-Newtonian Fluid Flow Through a Wedge with Non-Linear Thermal Radiation and Chemical Reactions (2024) – Cited by: 1 🧪
  • Computational Intelligence Approach for Optimising MHD Casson Ternary Hybrid Nanofluid Over the Shrinking Sheet with the Effects of Radiation (2023) – Cited by: 17 ⚡
  • Artificial Neural Network Simulation and Sensitivity Analysis for Optimal Thermal Transport of Magnetic Viscous Fluid Over Shrinking Wedge via RSM (2023) – Cited by: 20 🔍

 

Prof Dr. Bernd Markert | Computational Intelligence | Best Researcher Award

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Prof Dr. Bernd Markert | Computational Intelligence | Best Researcher Award

Prof Dr. Bernd Markert, RWTH Aachen University, Germany

Prof. Dr. Bernd Markert is a distinguished academic leader and Full Professor at RWTH Aachen University, where he directs the Institute of General Mechanics. Renowned for his research in mechanics, structural health monitoring, and biomechanics, Prof. Markert has authored over 400 publications with an h-Index of 43 and has garnered international recognition, including an honorary doctorate from PSACEA and a Distinguished Visiting Professorship at Tsinghua University. His academic excellence is complemented by leadership roles such as Vice Dean at RWTH Aachen and significant contributions to international collaborations and digital teaching innovations.

Professional Profile:

Google Scholar

Suitability for the Award

Prof. Dr. Bernd Markert is exceptionally qualified for the Best Researcher Award for the following reasons:

  1. Outstanding Academic Contributions:
    • Prof. Markert has made significant advancements in various areas of mechanics, including damage and fracture mechanics, multiscale and multiphysics approaches, and biomechanics. His research on coupled problems, nano-materials, and structural health monitoring highlights his innovative approach to complex engineering problems.
  2. High Impact and Recognition:
    • With an impressive h-index of 43 and over 6,900 citations, his work has had a profound impact on the field. His publications in prestigious journals and his contributions to digital twins and artificial intelligence further emphasize his leading role in engineering research.
  3. Leadership and Influence:
    • His leadership roles, including Vice Dean, Scientific Director, and Distinguished Visiting Professor, showcase his ability to drive academic and research excellence. His involvement in international collaborations and his influence in shaping educational programs reflect his significant impact on the academic community.
  4. Awards and Fellowships:
    • Prof. Markert’s recognition through various prestigious awards and fellowships underscores his exceptional contributions to the field. His honorary doctorate and international accolades highlight his global influence and the high regard in which he is held.

Educational Background 📚

He holds a Habilitation in Mechanics from 2010 and a Ph.D. (Dr.-Ing.) with distinction (2005), following a Diploma degree in Civil Engineering from the University of Stuttgart (1998).

Distinguished Academic Leader 🎓

Prof. Dr. Bernd Markert is a distinguished academic leader and Full Professor at RWTH Aachen University, where he also serves as the Institute Director. He has made significant contributions to the fields of mechanics, structural health monitoring, and biomechanics.

Research Excellence 🔬

With an h-Index of 43 and an i10-Index of 163, Prof. Markert boasts over 400 publications and 6973 citations as of August 2024. His research focuses on coupled problems, multifield theories, damage and fracture mechanics, and multiscale approaches, contributing to advancements in nano-materials and predictive maintenance.

Leadership and Administration 🏛️

Prof. Markert has held numerous leadership roles, including Vice Dean in Charge of Studies at the Faculty of Mechanical Engineering (2016-2019) and Chairman of the proRWTH support association at RWTH Aachen University. He has also been a Rector’s Delegate for Alumni and Scientific Director of International Master Programmes.

International Recognition 🌏

He is a Distinguished Visiting Professor at Tsinghua University, Beijing, China (since February 2024) and has been recognized with an honorary doctorate from PSACEA (2022) and a Royal Token from Princess Sirindhorn for his contributions to the Thai-German Graduate School of Engineering (2015).

Awards and Fellowships 🏆

Prof. Markert’s accolades include a fellowship for innovations in digital teaching from the Stifterverband (2016) and being a finalist for the Europe-wide Best PhD Thesis Award by ECCOMAS (2005).

Publication Top Notes:

  • Title: A Systematic Review of Gait Analysis Methods Based on Inertial Sensors and Adaptive Algorithms
    • Year: 2017
    • Cited by: 338
  • Title: Effects of Porosity on the Mechanical Properties of Additively Manufactured Components: A Critical Review
    • Year: 2020
    • Cited by: 253
  • Title: A Phase-Field Modeling Approach of Hydraulic Fracture in Saturated Porous Media
    • Year: 2017
    • Cited by: 204
  • Title: Comparison of Monolithic and Splitting Solution Schemes for Dynamic Porous Media Problems
    • Year: 2010
    • Cited by: 162
  • Title: A Linear Viscoelastic Biphasic Model for Soft Tissues Based on the Theory of Porous Media
    • Year: 2001
    • Cited by: 162

 

 

Prof. Neelamadhab Padhy | Soft Computing | Best Researcher Award

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Prof. Neelamadhab Padhy | Soft Computing | Best Researcher Award

Prof. Neelamadhab Padhy, GIET University, India

Prof. Padhy is a distinguished academic with a Doctor of Letters (D.Litt.) from SouthAsian University, South Korea, and a Ph.D. in Computer Science and Engineering from Sri Satya Sai University of Technology and Medical Science. His research, which spans software engineering, machine learning, and software quality, has led to significant advancements, particularly in software metrics, refactoring, and reusability prediction. With over two decades of teaching experience, Prof. Padhy has mentored numerous students and authored influential publications, including highly cited works in data mining and brain tumor classification. His excellence in research and education has been recognized through various awards, including the Young Researcher award and Best Paper awards at international conferences.

Professional Profile:

Orcid
Scopus
Google Scholar

Suitability for the Award

Prof. Neelamadhab Padhy is a highly suitable candidate for the Research for Best Researcher Award. His extensive research in software quality, machine learning, and software engineering, combined with his notable academic achievements and awards, make him a distinguished figure in his field. His work not only advances academic knowledge but also has practical applications in improving software systems, making significant contributions to both academia and industry.

Academic Credentials:

Prof. Padhy holds a Doctor of Letters (D.Litt.) from SouthAsian University, South Korea, awarded in 2019, as an honorary recognition, highlighting his distinguished contributions to the field.

His Ph.D. in Computer Science and Engineering from Sri Satya Sai University of Technology and Medical Science (2015-2018) focused on Software Quality, a critical area in computer science, where his research has made significant advancements.

He also holds advanced degrees in Computer Science, including an M.Tech from Berhampur University and a Master of Computer Application from Biju Patnaik Technical University, solidifying his foundational expertise in the field.

Research Interests and Contributions:

Prof. Padhy’s research spans essential areas of software engineering, including Software Metrics, Software Quality, Machine Learning, Software Refactoring, Software Reusability Prediction, and Software Cost Estimation. His focus on improving software quality and leveraging machine learning techniques positions his work at the intersection of traditional software engineering and modern AI-driven approaches.

His influential publication, “The survey of data mining applications and feature scope,” has been cited 343 times, underscoring its impact on the academic community and its relevance in the evolving field of data mining.

His more recent work on “Brain tumor classification using dense efficient-net,” which has garnered 129 citations, reflects his continued contributions to cutting-edge research in applying machine learning to critical real-world problems.

Teaching and Mentoring:

With a teaching career spanning over two decades, Prof. Padhy has taught a wide range of subjects, from Database Management Systems and Data Mining to Secure Software Engineering and Statistical Machine Learning. His role as an educator has been recognized with the Best Faculty award in 2013 at GIET, Gunupur.

He has served as a Lecturer, Assistant Professor, and Associate Professor at prestigious institutions, mentoring numerous students and contributing to the academic community through his teaching and research supervision.

Awards and Recognition:

Prof. Padhy has received several awards that attest to his excellence in research and teaching, including the Young Researcher award and Best Paper award at the ICRIET 2016 conference.

His 1st prize award for a research paper presented at the 3rd IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON 2016) at IIT Varanasi further highlights his research prowess.

Publication Top Notes:

  1. Title: The Survey of Data Mining Applications and Feature Scope
    • Year: 2012
    • Cited by: 343
  2. Title: Brain Tumor Classification Using Dense Efficient-Net
    • Year: 2022
    • Cited by: 129
  3. Title: Malicious Node Detection Using Heterogeneous Cluster Based Secure Routing Protocol (HCBS) in Wireless Adhoc Sensor Networks
    • Year: 2020
    • Cited by: 94
  4. Title: Fundamentals, Present and Future Perspectives of Speech Enhancement
    • Year: 2021
    • Cited by: 82
  5. Title: Heart disease prediction by using novel optimization algorithm: A supervised learning prospective
    • Year: 2021
    • Cited by: 71

 

 

Tayfun Abut | Methods and Algorithms | Best Researcher Award

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Assist Prof. Tayfun Abut | Methods and Algorithms | Best Researcher Award

Assist Prof Dr. Tayfun Abut, Mus Alparslan University, Turkey

Dr. Tayfun Abut is an Assistant Professor of Mechanical Engineering at Mus Alparslan University. He earned his Doctoral and Master’s degrees from Firat University, where he also completed his Bachelor’s degree. Dr. Abut has held various academic and leadership positions, including Vice Dean and Head of Major Department, contributing significantly to his institution’s academic and administrative functions. His research focuses on control systems, haptic teleoperation, and dynamic analysis of mechanical systems, with numerous publications in reputable journals. Dr. Abut’s work has earned him several honors, including the Highly Commended Paper Award from Emerald Publishing and TÜBİTAK’s Publication Incentive Awards. He is dedicated to continuous learning, actively participating in workshops and training to further his expertise.

🌍 Professional Profile:

ORCID 
Scopus

🎓 Educational Background:

Dr. Tayfun Abut earned his Doctoral degree from Firat University’s Institute of Science on March 10, 2022. He previously obtained a Master’s degree (Thesis) from the same institution on August 27, 2015, and completed his Bachelor’s degree on June 15, 2012. His academic journey has been rooted in Firat University, where he has built a strong foundation in Mechanical Engineering.

💼 Experience:

Dr. Abut has a diverse range of academic positions. He started as a Research Assistant at Firat University’s Faculty of Engineering, specializing in Mechanical Theory and Dynamics. He continued his career at Mus Alparslan University, serving as a Research Assistant in the Department of Mechanical Engineering, focusing on System Dynamics and Control. Since August 5, 2022, Dr. Abut has been an Assistant Professor at Mus Alparslan University in the Department of Mechanical Engineering.

📚 Workshops and Training:

Dr. Abut’s work has been recognized with several honors and awards. Notably, he received the Highly Commended Paper Award from Emerald Publishing in 2020. He has also been awarded Publication Incentive Awards from TÜBİTAK in 2016 and 2017, highlighting his contributions to research and academic excellence.

🏅 Honors and Awards:

She has received several accolades, including the Outstanding Graduate Award from the School of International Education, Dalian University of Technology (2024), the DUT International Students Presidential Scholarship (full scholarship), and the Youth Star Award (2022). She also earned the Best Teacher Award for the 2018-2019 session from Sir Syed School, Wah Cantt, Pakistan, and a merit scholarship for her top performance in her MS and BS programs.

Publication Top Notes:

  • Real-time control and application with self-tuning PID-type fuzzy adaptive controller of an inverted pendulum
    • Year: 2019
    • Citations: 31
  • Haptic industrial robot control and bilateral teleoperation by using a virtual visual interface | Sanal bir görsel arayüz kullanarak haptik endüstriyel robot kontrolü ve iki yönlü teleoperasyon
    • Year: 2018
    • Citations: 6
  • Real-time control of bilateral teleoperation system with adaptive computed torque method
    • Year: 2017
    • Citations: 10
  • Haptic industrial robot control with variable time delayed bilateral teleoperation
    • Year: 2016
    • Citations: 18
  • Motion control in virtual reality based teleoperation system | Sanal Gerçeklik Tabanlı Teleoperasyon Sisteminde Hareket Kontrolü
    • Year: 2015
    • Citations: 2