Volodymyr Tychkov | Optimization | Outstanding Research and Development Award

Volodymyr Tychkov | Optimization | Outstanding Research and Development Award

Dr.Volodymyr Tychkov, Cherkasy State Technological University, Ukraine.

Dr.Volodymyr Tychkov,  in Cherkasy, Ukraine, is an Associate Professor at Cherkasy State Technological University 🏫. He holds a Ph.D. in Technical Sciences (2017) and specializes in Instrumentation, Mechatronics, and Computerized Technologies ⚙️. His research focuses on analytical and scientific instrumentation, non-destructive testing, mathematical modeling, and optimization 🔬. A Full Academic of the Ukrainian Academy of Engineering Sciences (2023) 🎓, he actively contributes to scientific advancements and has authored numerous publications 📚. He also serves as Deputy Head of Faculty for Research and is a member of the Ukrainian Society for Non-Destructive Testing.

Publication Profile

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Education & Experience 🎓💼

  • Черкасский инженерно-технологический институт (Cherkasy Engineering and Technological Institute) (1987–1991) – Engineer-Electromechanic ⚡
  • Cherkasy State Technological University (1996–Present) – Associate Professor, Department of Instrumentation, Mechatronics, and Computerized Technologies 👨‍🏫
  • Deputy Head of Faculty for Research – Cherkasy State Technological University 📊
  • Member of the Scientific and Technical Council – Cherkasy State Technological University 🏛️
  • Full Academic (2023) – Academy of Engineering Sciences of Ukraine 🏅
  • Member (2019–Present) – Ukrainian Society for Non-Destructive Testing 🛠️.

Suitability Summary

Dr.Volodymyr Tychkov, a distinguished researcher in the field of instrumentation, mechatronics, and computerized technologies, is highly deserving of the Outstanding Research and Development Award for his remarkable contributions to scientific advancements and academic excellence. With an academic journey that spans decades, he holds a Ph.D. in technical sciences, specializing in computer systems and components, and is an Associate Professor at Cherkasy State Technological University, Ukraine. His commitment to academic leadership is reflected in his roles as Deputy Head for Research and his active participation in the University’s Scientific and Technical Council.

Professional Development  🚀

Dr.Volodymyr Tychkov continuously enhances his expertise in Instrumentation, Mechatronics, and Computerized Technologies ⚙️. He actively engages in scientific research, focusing on non-destructive testing, optimization, and mathematical modeling 🔍. As a Full Academic of the Ukrainian Academy of Engineering Sciences (2023) and a member of the Ukrainian Society for Non-Destructive Testing (2019), he contributes to technological advancements. His participation in scientific councils, faculty leadership, and interdisciplinary research collaborations enriches his professional growth 📈. Dedicated to innovation, he mentors students, advances sustainable development in technical sciences, and publishes influential research in high-impact journals 📚.

Research Focus  🔬

Dr.Volodymyr Tychkov research spans multiple domains, including analytical instrumentation, non-destructive testing, and mathematical modeling 📡. His work in optimizing primary converters for automatic control systems in process water management has contributed to industrial efficiency and sustainability 🌱. He specializes in developing computational methods for improving electromagnetic field analysis, sensor technology, and artificial intelligence applications 🤖. His expertise extends to eddy current testing, environmental safety, and data-driven decision-making 📊. With over 290 publications, he significantly impacts technological innovations in automation, electronics, and materials science, collaborating with global research communities to advance engineering solutions 🌍.

Awards & Honors 🏆

  • Full Academic (2023) – Academy of Engineering Sciences of Ukraine 🎖️
  • Corresponding Member (2019) – Academy of Engineering Sciences of Ukraine 🏅
  • Member (2019–Present) – Ukrainian Society for Non-Destructive Testing 🔬
  • Deputy Head of Faculty for Research – Cherkasy State Technological University 📊
  • Member of the Scientific and Technical Council – Cherkasy State Technological University 🏛️.

Publication Top Notes

  • “Computer-economical optimization method for solving inverse problems of determining electrophysical properties of objects in eddy current structroscopy”
  • “Application of Reduced Order Surrogate Models in Compatible Determination of Material Properties Profiles by Eddy Current Method”
  • “The Inverse Problem of Determining Profiles of Electrophysical Parameters in Eddy-Current Structuroscopy Using Apriori Information on Multifrequency Probing”
  • “RECONSTRUCTION OF ELECTROPHYSICAL PARAMETER DISTRIBUTION DURING EDDY CURRENT MEASUREMENTS OF STRUCTURAL FEATURES OF PLANAR METAL OBJECTS”

 

Prof. Dr. Chen-Tung Chen | Performance Analysis | Best Researcher Award

Prof. Dr. Chen-Tung Chen | Performance Analysis | Best Researcher Award

Prof. Dr. Chen-Tung Chen, National United University, Taiwan

Chen-Tung Chen, a renowned academic in Industrial Engineering, holds a distinguished career as a professor at the Department of Information Management, National United University, Taiwan, since 2005. He earned his Bachelor’s and Master’s degrees in Industrial Engineering from National Tsing-Hua University, Taiwan, in 1987. In 1995, he completed his Ph.D. in Industrial Engineering and Management at National Chiao-Tung University, Taiwan. With an extensive academic background, Professor Chen has made significant contributions to various fields, including decision support systems, knowledge management, project management, data mining, and supply chain management. His research integrates fuzzy set theory and multiple criteria decision-making to address complex issues in the aforementioned domains. He has published numerous influential articles in prominent academic journals, shaping the evolution of Industrial Engineering and Information Management in Taiwan and beyond. His work continues to inspire students and professionals alike, making him a key figure in his field.

Professional Profile:

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Suitability for Best Researcher Award:

Professor Chen-Tung Chen is highly suitable for the Best Researcher Award due to his remarkable contributions to the fields of Industrial Engineering and Information Management. His work in fuzzy set theory and multiple criteria decision-making has shaped the way complex problems in areas like project management, supply chain management, and knowledge management are approached. Professor Chen’s interdisciplinary expertise, particularly in decision support systems and data mining, has not only advanced academic knowledge but has also driven innovation in practical applications, benefiting both businesses and research communities. His pioneering research and continuous focus on bridging theory with practice demonstrate his leadership and impact in his field.

🎓Education 

Chen-Tung Chen’s academic journey began with a Bachelor’s and Master’s degree in Industrial Engineering from the Department of Industrial Engineering at National Tsing-Hua University, Taiwan, in 1987. Driven by a passion for research and academia, he pursued his Ph.D. in Industrial Engineering and Management at National Chiao-Tung University, Taiwan, which he completed in 1995. His doctoral research further deepened his understanding of decision-making processes and their applications in management systems. This solid educational foundation provided the groundwork for his academic career, allowing him to delve into cutting-edge research areas such as fuzzy set theory, decision support systems, and knowledge management. Throughout his career, Professor Chen has remained committed to the continuous pursuit of knowledge, contributing to advancements in his field. His education, along with his rigorous research and teaching experience, has positioned him as a respected leader in the fields of Industrial Engineering and Information Management.

🏢Experience 

Professor Chen-Tung Chen has had an esteemed career in academia, holding the position of Professor at the Department of Information Management, National United University, Taiwan, since 2005. Prior to this, he earned a solid foundation in Industrial Engineering and Management, where he gained extensive experience in both teaching and research. His early academic journey included earning his Bachelor’s and Master’s degrees in Industrial Engineering from National Tsing-Hua University and his Ph.D. from National Chiao-Tung University, Taiwan. Over the years, Professor Chen has contributed to the growth of his department by offering innovative courses and mentoring numerous graduate students. His interdisciplinary expertise spans several areas, including fuzzy set theory, project management, data mining, and supply chain management. His influence extends beyond the classroom as he has become a key figure in advancing research in decision support systems, knowledge management, and e-business. His vast experience in academia has made him an invaluable resource for students and the research community.

🏅Awards and Honors 

Professor Chen-Tung Chen has been widely recognized for his outstanding contributions to the fields of Industrial Engineering and Information Management. Over the years, he has received several academic accolades for his excellence in research and teaching. As a respected figure in the academic community, he has earned recognition from numerous prestigious journals, where his work has been published. His research, particularly in the application of fuzzy set theory and multiple criteria decision-making, has garnered attention and praise from his peers. Professor Chen’s ability to bridge the gap between theory and practice has led to his involvement in significant projects in the fields of supply chain management, knowledge management, and e-business. His work has had a profound impact on both the academic and professional realms, earning him awards for his contributions to decision support systems and project management. His dedication to advancing his field continues to inspire colleagues, students, and researchers globally.

🔬Research Focus 

Professor Chen-Tung Chen’s research interests are centered on several critical areas in Industrial Engineering and Information Management. His primary focus lies in the application of fuzzy set theory and multiple criteria decision-making techniques to complex decision-making problems in various fields, including project management, supply chain management, and knowledge management. His work in developing decision support systems has led to innovative solutions for optimizing business processes and improving decision-making efficiency. Professor Chen also explores the role of data mining in extracting actionable insights from large datasets, enhancing organizational performance. His research in e-business focuses on improving digital transformation strategies and decision-making processes in modern enterprises. Additionally, his contributions to the design of supply chain management systems aim to create more efficient and responsive global supply networks. Overall, Professor Chen’s research aims to bridge theoretical knowledge with practical applications, providing valuable tools for both academic and professional communities.

Publication Top Notes:

  1. “Extensions of the TOPSIS for group decision-making under fuzzy environment”
    • Citations: 5275
  2. “A fuzzy approach for supplier evaluation and selection in supply chain management”
    • Citations: 2532
  3. “Acute toxicity and biodistribution of different sized titanium dioxide particles in mice after oral administration”
    • Citations: 1526
  4. “Acute toxicological effects of copper nanoparticles in vivo”
    • Citations: 1358
  5. “Diverse applications of nanomedicine”
    • Citations: 1315

 

 

 

 

 

Prof. Dr. Ke Xiong | Optimization Award | Best Researcher Award

Prof. Dr. Ke Xiong | Optimization Award | Best Researcher Award

Prof. Dr. Ke Xiong, School of Computer Science and Technology, Beijing Jiaotong University, China

Ke Xiong is a Full Professor and Vice Dean at the School of Computer and Information Technology, Beijing Jiaotong University (BJTU), where he earned both his B.S. and Ph.D. degrees. After completing his postdoctoral fellowship at Tsinghua University, he has held various prominent roles in academic and industry organizations. His research focuses on wireless cooperative networks, wireless powered networks, and network information theory, with over 200 academic publications. He has been recognized as a Highly Cited Chinese Researcher by Elsevier in 2023 and ranked among the top 2% of scientists globally by Stanford University in 2022. His numerous accolades include best paper awards and prestigious prizes in natural science and technology.

Professional Profile:

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Ke Xiong’s Suitability for the Research for Best Researcher Awards:

Ke Xiong exemplifies the qualities of a leading researcher deserving of the Best Researcher Award. His extensive publication record, influential leadership roles, and recognition within the academic and professional communities underscore his contributions to wireless networks and smart technologies. His ongoing efforts to enhance education and research collaboration further reinforce his suitability for this prestigious award. As he continues to advance his research and impact the field, he stands out as an inspiring figure in engineering and technology

🎓Education:

Ke Xiong earned his Bachelor of Science (B.S.) degree from Beijing Jiaotong University (BJTU) in 2004, followed by a Doctor of Philosophy (Ph.D.) degree from the same institution in 2010. His educational journey at BJTU laid a strong foundation for his subsequent research and academic career in computer and information technology.

🏢Work Experience:

After completing his Ph.D. in 2010, Ke Xiong served as a Postdoctoral Research Fellow in the Department of Electronics Engineering at Tsinghua University in Beijing, China, from April 2010 to February 2013. In March 2013, he joined Beijing Jiaotong University (BJTU) as a Lecturer, and over the years, he progressed to the roles of Associate Professor and eventually Full Professor and Vice Dean of the School of Computer and Information Technology. Additionally, he was a Visiting Scholar at the University of Maryland, College Park, MD, USA, from September 2015 to September 2016, further enhancing his research and academic expertise.

🏅Awards and Recognition:

Ke Xiong has received numerous accolades throughout his academic career, including recognition as a Highly Cited Chinese Researcher by Elsevier in 2023 and being ranked among the top 2% of scientists globally by Stanford University in 2022. He was awarded the Second Prize in Natural Science from the China Institute of Communications (CIC) and the Second Prize in Science and Technology from the China Railway Society. Additionally, he has won best student paper awards at several prestigious conferences, including HWMC 2014, IEEE ICC 2020, IEEE ICSTSN 2023, and IEEE ICCCS 2023 and 2024.

Publication Top Notes:

  • Title: AoI-minimal trajectory planning and data collection in UAV-assisted wireless powered IoT networks

    Cited by: 273

  • Title: UAV-assisted wireless powered cooperative mobile edge computing: Joint offloading, CPU control, and trajectory optimization

    Cited by: 245

  • Title: Rate-energy region of SWIPT for MIMO broadcasting under nonlinear energy harvesting model

    Cited by: 225

  • Title: Wireless information and energy transfer for two-hop non-regenerative MIMO-OFDM relay networks

    Cited by: 206

  • Title: Energy efficiency in secure IRS-aided SWIPT

    Cited by: 134

 

 

 

 

 

 

Dr. Maryam Sharifi | Optimization Award | Best Researcher Award

Dr. Maryam Sharifi | Optimization Award | Best Researcher Award

Dr. Maryam Sharifi, ABB Corporate Research, Sweden

Dr. Maryam Sharifi is a Senior Research Scientist and Control Systems Engineer at ABB Corporate Research in Vasterås, Sweden, where she focuses on developing optimized planning solutions for autonomous systems and conducting stability studies for renewable-based microgrids. With a Ph.D. in Electrical Engineering from the University of Tehran, Dr. Sharifi has extensive research experience in artificial intelligence, optimization-based solutions, multi-agent systems, and robotic systems. She has held various academic positions, including postdoctoral researcher at KTH Royal Institute of Technology, and has contributed significantly to peer-reviewed journals. Additionally, she has received several honors, including ranking second in her Ph.D. entrance examination among 1,500 participants. Dr. Sharifi is proficient in multiple programming languages and has delivered scientific talks at prestigious institutions.

Professional Profile:

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Suitability for Researcher Awards: Dr. Maryam Sharifi

Summary of Suitability for the Award:

Dr. Maryam Sharifi is a highly accomplished Senior Research Scientist and Control Systems Engineer with a rich academic and professional background that positions her as a leading candidate for a Best Researcher Award. Her expertise spans various critical areas, including Artificial Intelligence, Optimization, Multi-Agent Systems, Robotic Systems, and Formal Methods, making her contributions vital to advancing control systems and autonomous technologies.

🎓Education:

Dr. Maryam Sharifi earned her Ph.D. in Electrical Engineering with a focus on Control Systems from the University of Tehran, Iran, achieving a GPA of 18.73/20 from September 2015 to April 2020. During her doctoral studies, she was a visiting researcher at the Automatic Control Laboratory at ETH Zurich, Switzerland, from January to June 2019. Prior to her Ph.D., she completed her M.S. in Electrical Engineering (Control Systems) at Amirkabir University of Technology, Tehran, with a GPA of 18.29/20 from September 2013 to September 2015. She also holds two bachelor’s degrees in Electrical Engineering: the first in Control Systems with a GPA of 18.02/20 (September 2009 – September 2013) and the second in Power Systems with a GPA of 17.9/20 (September 2011 – September 2014), both from Amirkabir University of Technology

🏢Work Experience:

Dr. Maryam Sharifi currently serves as a Senior Research Scientist at ABB Corporate Research in Vasterås, Sweden, a position she has held since January 2024. Prior to this role, she was a Research Scientist at the same institution from February 2022 to December 2023. Before joining ABB, Dr. Sharifi worked as a Postdoctoral Researcher at KTH Royal Institute of Technology in Stockholm, Sweden, from September 2020 to February 2022, where she contributed to various advanced research projects in control systems and autonomous technologies.

🏅Awards:

Dr. Maryam Sharifi has received several accolades throughout her academic career. She was ranked 2nd in the Ph.D. entrance examination among 1,500 participants in 2015 and achieved 3rd place in her M.S. admission, which exempted her from the entrance examination in 2013. These accomplishments reflect her strong academic performance among a competitive group of 100 electrical engineering students.

Publication Top Notes:

  • “Control barrier function based visual servoing for Mobile Manipulator Systems under functional limitations”
  • “Safe Force/Position Tracking Control via Control Barrier Functions for Floating Base Mobile Manipulator Systems”
  • “Control barrier function based visual servoing for underwater vehicle manipulator systems under operational constraints”
  • “Platoons Coordination Based on Decentralized Higher Order Barrier Certificates”

 

 

 

Dr. Sunkari Pradeep | Optimization Awards | Best Researcher Award

Dr. Sunkari Pradeep | Optimization Awards | Best Researcher Award

Dr. Sunkari Pradeep, Malla Reddy Engineering College for Women, India

Dr. S. Pradeep is an Associate Professor and Head of Research & Development at Malla Reddy Engineering College for Women in Secunderabad, India. With a Ph.D. in Computer Science & Engineering from Shri Jagdishprasad Jhabarmal Tibrewala University, his academic journey includes an M.Tech from JNT University Hyderabad and a B.Tech from the same institution. Dr. Pradeep has held various positions in academia, including roles at Bhoj Reddy Engineering College and Jayaprakash Narayan College of Engineering. His research interests span Wireless Sensor Networks, Artificial Intelligence, Cyber Security, Data Science, and Cloud Computing. He has contributed significantly to the field through patents, books, and publications, and has served as a keynote speaker on AI for banking. Dr. Pradeep is also a member of professional bodies such as IEEE, ACM, and IAENG.

Professional Profile:

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Dr. S. Pradeep’s Suitability for Best Researcher Award – Summary and Conclusion

Dr. S. Pradeep is a highly suitable candidate for the Best Researcher Award. His extensive research in emerging fields, significant academic contributions, and active involvement in professional communities showcase his dedication and impact in the field of computer science and engineering. His achievements and ongoing work align well with the criteria for this prestigious award, making him a strong contender.

🎓Education:

Dr. S. Pradeep earned his Ph.D. in Computer Science & Engineering from Shri Jagdishprasad Jhabarmal Tibrewala University, Rajasthan, where he conducted research from 2016 to 2019. Prior to this, he completed his M.Tech in Computer Science & Engineering with Distinction from JNT University Hyderabad, Telangana, India, between 2010 and 2012. His foundational education includes a B.Tech in Information Technology & Engineering, also from JNT University Hyderabad, where he graduated with First Class honors in 2010.

🏢Work Experience:

Dr. S. Pradeep currently serves as the Associate Professor and Head of Research & Development in the Department of Computer Science & Engineering at Malla Reddy Engineering College for Women in Secunderabad, India, a position he has held since 2021. Before this role, he was an Associate Professor in the Department of Computer Science at Bhoj Reddy Engineering College for Women in Hyderabad from 2020 to 2021. His academic career began as an Assistant Professor in the Department of Computer Science at Jayaprakash Narayan College of Engineering in Hyderabad, where he worked from 2012 to 2016.

🏅Awards and Certifications:

Dr. S. Pradeep holds several prestigious certifications in the field of network security and cloud computing. In 2020, he earned the Fortinet NSE Certification as a Network Security Expert, specializing in NS1 and NS2. He also obtained the Certified Network Security Specialist credential from ICSI in the same year. More recently, in 2023, he achieved the Oracle Cloud Infrastructure Certified Foundations Associate certification, further demonstrating his expertise in cloud technologies.

Publication Top Notes:

  • A Pragmatic Evaluation of Stress and Performance Testing Technologies for Web-Based Applications
    • Cited by: 65
  • Deep Learning Based Real-Time Object Recognition for Security in Air Defense
    • Cited by: 14
  • Developing an SDN Security Model (EnsureS) Based on Lightweight Service Path Validation with Batch Hashing and Tag Verification
    • Cited by: 9
  • Secured Information Sharing in Supply Chain Management: Modified Data Sanitization with Optimal Key Generation via Hybrid Algorithm
    • Cited by: 9
  • Energy Efficient Routing Protocol in Novel Schemes for Performance Evaluation
    • Cited by: 9

 

 

Assoc Prof Dr. Yang Wang | Optimization Awards | Best Researcher Award

Assoc Prof Dr. Yang Wang | Optimization Awards | Best Researcher Award

Assoc Prof Dr. Yang Wang, Shanghai DianJi university, China

Yang Wang is a Professor at Shanghai Dianji University and serves as the Deputy Director of the Planning and Development Office. Her expertise lies in fault diagnosis of complex industrial processes and energy system optimization. As a Master’s Supervisor and a reviewer for the Journal of ISA Transactions, she contributes significantly to her field. Yang Wang has earned recognition for her innovative work, including a second prize in the “Shanghai Teaching Innovation Competition” and the “Design Star” in the “5th National College Hybrid Teaching Design Innovation Competition.” Her research includes designing resilient multi-energy systems and employing advanced techniques to manage forecast errors and uncertainties.

Professional Profile:

Scopus

Evaluation for Prof. Yang Wang’s Suitability for the Best Researcher Award

Prof. Yang Wang’s impactful research, innovative achievements, and dedication to education and professional contributions position her as a highly suitable candidate for the Best Researcher Award. Her expertise and recognition in energy system optimization and fault diagnosis underscore her significant contributions to her field, making her a deserving recipient of this honor.

🏢Current Roles:

Yang Wang is a Professor at Shanghai Dianji University, where she also serves as the Deputy Director of the Planning and Development Office. In her academic role, she supervises Master’s students and contributes as a reviewer for the Journal of ISA Transactions. Her responsibilities encompass both administrative leadership and academic mentorship, reflecting her significant role in advancing research and development at the university.

🏅Awards and Recognitions:

Yang Wang has been honored with the Second Prize in the Shanghai Teaching Innovation Competition and has received the “Design Star” award in the 5th National College Hybrid Teaching Design Innovation Competition. These accolades recognize her exceptional contributions to educational innovation and her commitment to advancing teaching methodologies.

Publication Top Notes:

  • Distributed Monitoring of Nonlinear Plant-Wide Processes Based on GA-Regularized Kernel Canonical Correlation Analysis
  • Optimizing Multi-Energy Systems with Enhanced Robust Planning for Cost-Effective and Reliable Operation
  • Interpretable Chiller Fault Diagnosis Based on Physics-Guided Neural Networks
  • Short-Term Power Load Forecasting Based on IWOA-GRU
  • Flexible Adaptive Marine Predator Algorithm for High-Dimension Optimization and Application in Wind Turbine Fault Diagnosis

 

 

 

 

 

Tayfun Abut | Methods and Algorithms | Best Researcher Award

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 
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🎓 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