Prof. Gour Paul | Image Processing | Best Researcher Award

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Prof. Gour Paul | Image Processing | Best Researcher Award

Prof. Gour Paul, Department of Mathematics, University of Rajshahi, Bangladesh

Dr. Gour Paul, a distinguished mathematician and professor at the University of Rajshahi, Bangladesh, specializes in planetary evolution, Earth science, and numerical methods. Born on November 20, 1974, Dr. Gour Paul has a rich academic background, earning his Ph.D. in Mathematics in 2005 from the University of Rajshahi, where he focused on protoplanetary models of planetary formation. He further enhanced his expertise through a postdoctoral fellowship at the School of Mathematical Sciences, Universiti Sains Malaysia. With over 15 years of experience in academia, Dr. [Name] has held various positions, including Associate Professor and Lecturer at the same institution, before becoming a full professor in 2013. His research contributions include investigating storm surge modeling and developing numerical methods for solving differential equations. Gour Paul has received several accolades for his exceptional research, including the SHEN Award for excellence in research in 2021 and the Dean’s Award in 2015. He is actively engaged in simulating water levels and predicting storm surges, demonstrating his commitment to advancing knowledge in applied mathematics and its practical applications.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award

Dr. Gour Chandra Paul has made significant contributions in the fields of planetary evolution and Earth science. His work on protoplanets, focusing on their structure and formation processes, reflects deep insights into both solar and extra-solar planetary systems. By investigating heat transfer mechanisms and sedimentation processes within protoplanets, Dr. Paul has advanced the understanding of planetary formation dynamics. In Earth science, he has applied advanced numerical modeling techniques to analyze storm surges, demonstrating expertise in finite difference methods and harmonic analysis. His research has practical implications for predicting storm tracks and assessing inundation areas, which are critical in disaster management for coastal regions like Bangladesh.

🎓 Education

  • 2010: Postdoctoral Fellow, School of Mathematical Sciences, University Sains Malaysia, Pulau Pinang, Malaysia (July 1, 2010 – July 31, 2011)
  • 2005: Ph.D. in Mathematics, University of Rajshahi
    Thesis Title: Investigation of some aspects of protoplanetary model of planetary formation.
  • 1995: M.Sc. in Applied Mathematics, Rajshahi University (First Class, First Position)
  • 1994: B.Sc. in Mathematics, Rajshahi University (First Class, Second in Science Faculty)
  • 1991: HSC, Rajshahi Board, Bogra Azizul Hoque College (First Division)
  • 1989: SSC, Rajshahi Board, Talora Altaf Ali High School (First Division)

💼 Work Experience

  • July 1, 2017 – Present: Professor (Grade 2), Department of Mathematics, University of Rajshahi
  • January 4, 2013 – Present: Professor, Department of Mathematics, University of Rajshahi
  • March 30, 2008 – January 3, 2013: Associate Professor, Department of Mathematics, University of Rajshahi
  • August 1, 2012 – August 21, 2012: Post-Doctoral Visiting Researcher, Universiti Sains Malaysia
  • July 1, 2010 – July 31, 2011: Post-Doctoral Fellow, Universiti Sains Malaysia
  • March 30, 2008 – June 30, 2010: Associate Professor, Department of Mathematics, University of Rajshahi
  • March 28, 2003 – March 29, 2008: Assistant Professor, Department of Mathematics, University of Rajshahi
  • March 28, 2000 – March 27, 2003: Lecturer, Department of Mathematics, University of Rajshahi

🏆 Achievements & Awards

  • 2021: SHEN AWARD for Excellence in Research
  • 2015: Dean’s Award, Faculty of Science, University of Rajshahi for Excellent Research Work in Physical and Mathematical Sciences
  • 1995: Sayed Amir Ali Award, Post Graduate Scholarship, Rajshahi University
  • 1994-1995: Graduate Talent Scholarship, Rajshahi University
  • 1989-1991: Board’s Scholarship

Publication Top Notes:

Emulating cyclone Roanus interaction with tide and surge through the method of lines: a numerical analysis

Unveiling protoplanetary structure equations: Semi-analytical solutions via the homotopy analysis method

On the radius spectrum of solid grains settling in polytropic protoplanets

Exploring dynamic behaviors of diverse electrical soliton pulses in lossy nonlinear electrical transmission lines: Insights from analytical method and linear stability analysis technique

Exploring dynamic behaviors of soliton-like pulses in the lossy electrical transmission line model with fractional derivatives: A comparative study

Dr. Stefan Baar | Image Analysis Award | Best Researcher Award

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Dr. Stefan Baar | Image Analysis Award | Best Researcher Award 

Dr. Stefan Baar, Muroran Institute of Technology, Japan

Dr. Stefan Baar, born on January 21, 1987, in Germany, is a distinguished researcher specializing in machine learning and image processing applications in agriculture and cell biology. He is currently a researcher at the Muroran Institute of Technology in Japan, where he focuses on detecting and classifying cell features and movements and estimating plant phenotyping using innovative machine learning techniques. His work is conducted at the Computational Intelligence Laboratory under the direction of Prof. Dr. Shinya Watanabe. Dr. Baar’s academic journey began with a Bachelor of Science in Physics from Friedrich-Schiller-Universität Jena, followed by a Master of Science in Physics from the same institution. He earned his Ph.D. in Physics from the Muroran Institute of Technology, with a thesis on scanning tunneling studies of the pseudo gap in high-temperature superconductors under the supervision of Prof. Dr. Naoki Momono.

Professional Profile:

ORCID

Summary of Suitability:

Stefan Baar’s extensive background in both machine learning and astrophysics, combined with his advanced technical skills and significant research contributions, position him as an exceptional candidate for the Best Researcher Award. His work on novel machine learning techniques for cell and plant phenotyping and his previous research in astrophysics demonstrate his versatility and impact in diverse scientific fields. His impressive publication record and innovative research methodologies further underscore his qualifications for this award.

Education

2013 – 2016
Ph.D. in Physics
Muroran Institute of Technology, Japan

  • Thesis: Scanning Tunneling Studies of the Pseudo Gap in High Temperature Superconductors
  • Supervisor: Prof. Dr. rer. nat. Naoki Momono
  • Institute: Material Science Unit

2011 – 2013
Master of Science in Physics
Friedrich-Schiller-Universität Jena, Germany

  • Thesis: The Westerbork Synthesis Radio Telescope (WSRT): Legacy Survey: Radio Relics in Galaxy Clusters
  • Grade: 1.4
  • Supervisor: Dr. rer. nat. Matthias Hoeft
  • Institute: Thüringer Landessternwarte Tautenburg (TLS)

2008 – 2011
Bachelor of Science in Physics
Friedrich-Schiller-Universität Jena, Germany

  • Thesis: The setup of the Small Radio Telescope (SRT) Jena
  • Grade: 1.1
  • Supervisor: PD Dr. rer. nat. habil. Katharina Schreyer (Assistant Professor)
  • Institute: Astrophysikalisches Institut und Universitäts-Sternwarte (AIU)
  • Laboratory Experience: Gamma spectroscopy, Superconductivity, Lasers, Fourier interferometry, Scanning tunneling microscopes, Optical and radio telescopes

2004 – 2007
High School
Pestalozzi Gymnasium Meerane, Germany

2003 – 2004
High School
Ellsworth Community High School, USA

Work Experience

2020 – Present
Researcher in Machine Learning and Image Processing for Applications in Agriculture and Cell Biology
Muroran Institute of Technology, Japan

  • Research on detection and classification of cell features and movements using novel machine learning techniques
  • Estimating plant phenotyping with advanced machine learning methods
  • Institute Director: Prof. Dr. Shinya Watanabe
  • Institute: Computational Intelligence Laboratory

2016 – 2020
Researcher (Tenure Track) in Astrophysics and Cosmology
University of Hyogo, Japan

  • Research on detection and classification of diffuse shock emission in large-scale radio surveys using novel machine learning techniques
  • Automation of robotic telescopes
  • Education: Lectured on astrophysics for university students, high school students, and the general public
  • Institute Director: Prof. Dr. Yoichi Itoh
  • Institute: Center for Astronomy, Nishi-Harima Astronomical Observatory

Publication top Notes:

Fiduciary-Free Frame Alignment for Robust Time-Lapse Drift Correction Estimation in Multi-Sample Cell Microscopy

Mrs. Pemila | Image Processing Awards | Best Researcher Award

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Mrs. Pemila | Image Processing Awards | Best Researcher Award

Mrs. Pemila , SRM Institute, India

Dr. Pemila M is an Assistant Professor in the Department of Electronics and Communication Engineering at Urbanrise Jubilee Residences in Tamil Nadu. With a strong educational background including an M.Tech in VLSI Design from SASTRA University and a B.E. in Electronics and Communication Engineering from Periyar Maniammai College of Technology for Women, Dr. Pemila has extensive experience in both academia and research. Her career includes roles at Sree Sastha College of Engineering, Periyar Maniammai College, and SRM IST, where she has excelled in developing innovative instructional methods and guiding students in research projects. She has contributed to several high-impact publications and has organized notable training programs and guest lectures. Her diverse expertise spans a range of technical fields, including embedded systems, image processing, and renewable energy technologies.

Professional Profile:

Scopus

Evaluation Summary for Pemila M: Research for Best Researcher Award

Pemila M, with an M.Tech in VLSI Design and a B.E. in Electronics and Communication Engineering, has a strong foundation in her field. Her diverse academic roles, from lecturer to assistant professor, highlight her expertise in teaching and mentoring. Pemila’s impactful research is demonstrated through notable publications in IEEE Xplore and other prestigious journals, focusing on power quality improvement and machine learning for vehicle classification. Her innovative teaching methods and active involvement in training programs and conferences further showcase her dedication to advancing knowledge. Pemila M’s blend of research excellence, educational commitment, and organizational contributions make her an outstanding candidate for the Best Researcher Award

🎓Education:

Dr. Pemila M completed her M.Tech in VLSI Design from SASTRA University, Thanjavur, between May 2007 and May 2009. She holds a B.E. in Electronics and Communication Engineering from Periyar Maniammai College of Technology for Women, Thanjavur, affiliated with Anna University, which she earned from May 2003 to May 2007. Dr. Pemila’s foundational education includes her 12th Standard and 10th Standard, both completed at St. Joseph of Cluny Matriculation Higher Secondary School, NLC, during May 2002 – May 2003 and May 2000 – May 2001, respectively.

🏢Work Experience:

Dr. Pemila M has been serving as an Assistant Professor in the Department of Electronics and Communication Engineering at Urbanrise Jubilee Residences, Tamil Nadu, since May 2022. Concurrently, she has been a Collaborating Teaching Assistant at the University of Bucharest, Faculty of Geography, since October 2018. Her past roles include coordinating the post-doctoral project “Field Investigation within Jiu River Basin” (COMPASS) from November 2020 to November 2021, and being a member of the AMIPAHYR Project (Methodological Approaches for Analyzing Anthropic Impacts on Rivers) from August 2016 to December 2017. She also contributed to the design and development of a bibliographic database on Forest Hydrology at FAO from December 2015 to January 2016.

🏆Awards:

Dr. Pemila M has received several prestigious awards in recognition of her contributions to the field of environmental research and academic excellence. She was honored with the Young Team of Researchers Award for her research on water quality between Morii Lake and the Glina wastewater treatment plant. Additionally, she earned the Scientific Congress Coordinator Award for her exceptional role in organizing the Scientific Congress of Eastern European Students on “Energy Challenges and Transitions in Geosciences.” Dr. Pemila also received the European Geosciences Union General Assembly Oral Communication Award for her presentation on “Sediment Connectivity Assessment in a Romanian Catchment Affected by Coal Mining.”

Publication Top Notes:

  • Application of an ensemble CatBoost model over complex dataset for vehicle classification
  • Real-Time Classification of Vehicles Using Machine Learning Algorithm on the Extensive Dataset
  • AI-Based Autonomous Paddy Farm using Smart and Precise Irrigation System
    • Citations: 1
  • An Efficient Classification for Light Motor Vehicles using CatBoost Algorithm
    • Citations: 3
  • Implementation of Vehicles Classification using Extreme Gradient Boost Algorithm
    • Citations: 5