Jingcheng Ke | Diffusion Models | Excellence in Research

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Jingcheng Ke | Diffusion Models | Excellence in Research

Dr. Jingcheng Ke, Osaka university, Japan.

Jingcheng Ke, Ph.D.Ā šŸŽ“, is a researcher at the Institute for Datability Science, Osaka UniversityĀ šŸ‡ÆšŸ‡µ. With a Ph.D. from National Tsing Hua University (NTHU)Ā šŸ‡¹šŸ‡¼, his research focuses on vision-language matching and diffusion models for image and video analysisĀ šŸ–¼ļøšŸ“¹. He has worked as an AI researcher at vivo AI Lab and as an exchange student at Shenzhen Key Laboratory of Visual Object Detection and Recognition. Proficient in multiple languagesĀ šŸŒĀ and programmingĀ šŸ–„ļø, Dr. Keā€™s work bridges cutting-edge AI technologies and innovative computational methods.

Publication Profile

Googlescholar

Education & Experience:

Education

  • šŸŽ“Ā Ph.D. in Communications EngineeringĀ (2019ā€“2024)
    • National Tsing Hua University, Taiwan
    • Thesis:Ā Referring Expression Comprehension in a Graph-based Perspective and Its Generalizations
  • šŸŽ“Ā M.Sc. in Computer ApplicationĀ (2015ā€“2018)
    • Shaanxi Normal University, China
    • Thesis:Ā Face recognition based on virtual faces and sparse representations
  • šŸŽ“Ā B.Sc. in Network EngineeringĀ (2010ā€“2014)
    • Southwest Minzu University, China
    • Thesis:Ā An improved encryption algorithm based on Data Encryption Standard

Experience

  • šŸ§‘ā€šŸ”¬Ā ResearcherĀ (2024ā€“Present)
    • Institute for Datability Science, Osaka University
  • šŸ¤–Ā AI ResearcherĀ (2018ā€“2019)
    • vivo AI Lab
  • šŸ”¬Ā Exchange StudentĀ (2016ā€“2018)
    • Shenzhen Key Laboratory of Visual Object Detection and Recognition

Suitability for the Award

Dr. Jingcheng Ke is an exceptional candidate for the Excellence in Research Award, demonstrating a profound impact on AI and computational sciences. His Ph.D. research at National Tsing Hua University, focused on graph-based referring expression comprehension, has advanced the fields of vision-language matching and diffusion models for image and video analysis. With professional experience at Osaka University and vivo AI Lab, Dr. Ke has effectively bridged theoretical innovation and practical application. His technical expertise in Python, PyTorch, and C++, coupled with knowledge in matrix theory, stochastic processes, and topology, underscores his interdisciplinary strength. Dr. Ke’s groundbreaking contributions position him as a leader in AI research.

Professional Development

Dr. Jingcheng Keā€™s professional journey spans academia and industry, specializing in artificial intelligenceĀ šŸ¤–Ā and computer visionĀ šŸ‘ļø. His Ph.D. research at NTHU explored graph-based perspectives for referring expression comprehension, advancing the intersection of vision and language technologiesĀ šŸŒ. With hands-on experience in AI innovation at vivo AI Lab and collaboration with top-tier research labs, he has honed his expertise in diffusion models and image/video analysisĀ šŸ“Š. Proficient in coding languages like Python and PyTorchĀ šŸ–„ļø, he leverages advanced mathematical concepts like matrix theory and stochastic processes to push AI boundariesĀ šŸš€.

Research Focus

Dr. Keā€™s research is centered on the intersection of vision and languageĀ šŸ¤, with a keen focus on diffusion models for image and video analysisĀ šŸŽ„. His work addresses challenges in vision-language matching, exploring graph-based approaches to enhance comprehension and generalization capabilitiesĀ šŸ”. Passionate about advancing AI technologies, he delves into areas like sparse representation and encryption algorithmsĀ šŸ”’. By integrating robust coding skills in Python and PyTorch with theoretical foundations, his research contributes to groundbreaking advancements in artificial intelligence and computational methodologiesĀ šŸš€.

Awards and Honors

  • šŸ†Ā Best Paper AwardĀ ā€“ Recognized for excellence in vision-language research.
  • šŸ„‡Ā Graduate FellowshipĀ ā€“ National Tsing Hua University, Taiwan.
  • šŸ„‰Ā Outstanding Thesis AwardĀ ā€“ Shaanxi Normal University, China.
  • šŸŽ–ļøĀ Research Excellence RecognitionĀ ā€“ vivo AI Lab, 2019.
  • šŸŒŸĀ Academic Merit ScholarshipĀ ā€“ Southwest Minzu University, China.

Publication Highlights

  • šŸ“„Ā An improvement to linear regression classification for face recognitionĀ ā€“Ā 26 citations, published inĀ International Journal of Machine Learning and Cybernetics, 2019.
  • šŸ“˜Ā Referring Expression Comprehension via Enhanced Cross-modal Graph Attention NetworksĀ ā€“Ā 12 citations, published inĀ ACM TOMM, 2022.
  • šŸ–¼ļøĀ Face recognition based on symmetrical virtual image and original training imageĀ ā€“Ā 12 citations, published inĀ Journal of Modern Optics, 2018.
  • šŸ“ŠĀ Sample partition and grouped sparse representationĀ ā€“Ā 8 citations, published inĀ Journal of Modern Optics, 2017.
  • šŸ¤–Ā A novel grouped sparse representation for face recognitionĀ ā€“Ā 7 citations, published inĀ Multimedia Tools and Applications, 2019.

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 TƜBÄ°TAK’s Publication Incentive Awards. He is dedicated to continuous learning, actively participating in workshops and training to further his expertise.

šŸŒ Professional Profile:

ORCIDĀ 
Scopus

šŸŽ“ 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.

šŸ’¼Ā 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.

šŸ“š 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 TƜBÄ°TAK in 2016 and 2017, highlighting his contributions to research and academic excellence.

šŸ… 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 gƶrsel arayĆ¼z kullanarak haptik endĆ¼striyel robot kontrolĆ¼ ve iki yƶnlĆ¼ 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 GerƧeklik Tabanlı Teleoperasyon Sisteminde Hareket KontrolĆ¼
    • Year: 2015
    • Citations: 2

 

 

Dr. Majeed Ahmad Yousif | Numerical Methods Awards | Best Researcher Award

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Dr. Majeed Ahmad Yousif | Numerical Methods Awards | Best Researcher Award

Dr. Majeed Ahmad Yousif, University of Zakho, Iraq

Dr. Majeed Ahmad Yousif is a dedicated researcher and lecturer in Mathematics at the University of Zakho in Duhok, Iraq, where he has been contributing to academia since October 25, 2011. Currently pursuing a Ph.D. in Mathematics at the same institution, Dr. Yousif focuses his research on Numerical Differential Equations, Numerical Methods, Numerical Fluid Mechanics, Non-polynomial spline methods, and Numerical Fractional Differential Equations. His scholarly work aims to advance computational techniques for solving intricate mathematical problems, particularly in fluid mechanics and differential equations, making notable contributions to the field of numerical analysis.

Professional Profile:

Orcid

šŸŽ“Ā Education:

Dr. Majeed Ahmad Yousif is currently pursuing a Ph.D. in Mathematics at the University of Zakho in Duhok, Iraq. His academic journey underscores his dedication to advancing knowledge in mathematics, focusing on specialized research and scholarly pursuits at the university.

šŸ’¼ Employment:

Dr. Majeed Ahmad Yousif has been a dedicated Lecturer in Mathematics at the University of Zakho in Duhok, Iraq, since October 25, 2011. With over a decade of experience in academia, he has contributed significantly to the university’s educational mission, imparting knowledge and fostering intellectual growth among students. Dr. Yousif’s commitment to mathematics education underscores his passion for teaching and his role in shaping the next generation of scholars in Iraq.

šŸ”Ā Research Focus:

Dr. Majeed Ahmad Yousif is a distinguished researcher specializing in Numerical Differential Equations, Numerical Methods, Numerical Fluid Mechanics, Non-polynomial spline methods, and Numerical Fractional Differential Equations. His expertise lies in advancing computational techniques to solve complex mathematical problems, particularly in fluid mechanics and differential equations. Dr. Yousif’s research contributions have significantly impacted the field of numerical analysis, emphasizing innovative approaches to enhance accuracy and efficiency in computational modeling and simulations.

Publication Top Note:

  • Title: Efficient Simulation of Time-Fractional Korteweg-de Vries Equation via Conformable-Caputo Non-Polynomial Spline Method
    • Date: 2024-06-26
  • Title: A Computational Study of Time-Fractional Gas Dynamics Models by Means of Conformable Finite Difference Method
    • Date: 2024-06-19
  • Title: On Multiple-Type Wave Solutions for the Nonlinear Coupled Time-Fractional Schrƶdinger Model
    • Date: 2024-05-03
  • Title: The Fractional Non-Polynomial Spline Method: Precision and Modeling Improvements
    • Date: 2024-04
  • Title: Some New Fractional Inequalities Defined Using cr-Log-h-Convex Functions and Applications
    • Date: 2024-04-01

 

 

 

 

Dr. Yasir Nawaz | Computational Method | Best Researcher Award

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Dr. Yasir Nawaz | Computational Method | Best Researcher Award

Dr. Yasir Nawaz, Comwave Institue, Pakistan

Dr. Yasir Nawaz is an esteemed mathematician and Assistant Professor at Comwave Institute of Science & Information Technology, Pakistan, where he has been serving since November 2023. He completed his Ph.D. in Mathematics, specializing in Computational & Applied Mathematics, from Air University Islamabad, focusing on Numerical Techniques for Boundary Layer Problems. Prior to his doctoral studies, he earned an M.Phil in Pure Mathematics as a Gold Medalist from Quaid-i-Azam University Islamabad and an M.Sc. in Mathematics from the same institution. Dr. Yasir’s research proficiency extends to Matlab, Mathematica, and Comsol, where he applies his expertise in coding, simulations, and algebraic computations. With a strong academic background and a commitment to teaching, he has held various positions, including Lecturer at Hitec University Taxila, Visiting Faculty Member at Nu-Fast, and an online instructor for international students, garnering top honors throughout his educational and professional journey.

Professional Profile:

Scopus

šŸ« Academic Qualifications:

Dr. Yasir Nawaz completed his Ph.D. in Mathematics, specializing in Computational & Applied Mathematics, from Air University Islamabad, Pakistan (2017-2020), achieving a perfect C.G.P.A of 4/4. His doctoral thesis focused on Numerical Techniques for Boundary Layer Problems. Prior to this, he earned an M.Phil in Pure Mathematics (Gold Medalist) from Quaid-i-Azam University Islamabad, Pakistan (2006-2008), with a thesis on (Ī±, Ī²)-Fuzzy Ideals in Semigroups, and an M.Sc. in Mathematics from the same institution (2004-2006).

šŸ“œ Educational Achievements:

  • First Position in M.Phil at the Department of Mathematics and the Faculty of Natural Sciences, Quaid-i-Azam University.
  • Second Position in B.Sc-II Punjab University Exam 2004 at F.G. Sir Syed College, The Mall Rawalpindi Cantt.

šŸ‘Øā€šŸ« Professional Experience:

Dr. Yasir has held various academic positions, including:

  • Lecturer at the Department of Mechanical Engineering, Hitec University Taxila, Pakistan.
  • Visiting Faculty Member at Nu-Fast.
  • Online Teacher for international students.
  • Assistant Professor at Comwave Institute of Science & Information Technology (since November 2023).

šŸ’» Research and Skills:

His research expertise includes Numerical Techniques for Boundary Layer Problems, with proficiency in software tools such as Matlab, Mathematica, and Comsol for coding, simulations, and algebraic computations.

šŸŒ Distinctions and Honors:

  • Achieved first positions in M.Phil at both the departmental and faculty levels.
  • Secured top positions in B.Sc. and intermediate exams.

Publication Top Notes:

  • Title: A two-stage multi-step numerical scheme for mixed convective Williamson nanofluid flow over flat and oscillatory sheets
    • Year: 2024
  • Title: Fractal Numerical Investigation of Mixed Convective Prandtl-Eyring Nanofluid Flow with Space and Temperature-Dependent Heat Source
    • Year: 2024
  • Title: A two-stage reliable computational scheme for stochastic unsteady mixed convection flow of Casson nanofluid
    • Year: 2024
  • Title: A Hybrid SIR-Fuzzy Model for Epidemic Dynamics: A Numerical Study
    • Year: 2024
  • Title: Precision in disease dynamics: Finite difference solutions for stochastic epidemics with treatment cure and partial immunity
    • Year: 2024