Dr. Nataraj Vijapur | Digital Imaging Awards | Best Researcher Award

Dr. Nataraj Vijapur | Digital Imaging Awards | Best Researcher Award

Dr. Nataraj Vijapur, RV Institute of Technology and Management, India

Dr. Nataraj Vijapur is an accomplished academic with over 22 years of teaching experience in Electrical and Electronics Engineering. He is currently serving as the Head of the Department of Electronics and Communication Engineering at RV Institute of Technology and Management in Bangalore since September 2020. Prior to this role, Dr. Vijapur spent 16 years at KLE Dr. M. S. Sheshgiri College of Engineering and Technology in Karnataka, where he held various positions, including Associate Professor and PG Coordinator. He completed his Ph.D. at Visvesvaraya Technological University in 2017, focusing on โ€œEfficient Glaucoma Detection based on Image Processing Techniques.โ€ Dr. Vijapur also holds a Master of Technology in VLSI Design and Embedded Systems and a Bachelor of Engineering in Electronics and Communication, both from Visvesvaraya Technological University and Karnataka University, respectively. His commitment to advancing engineering education is reflected in his extensive academic and administrative contributions throughout his career.

Professional Profile:

SCOPUS

Summary of Suitability for the Research for Best Researcher Award:ย 

Dr. Nataraj Vijapur is a highly qualified and experienced academic with over 22 years of teaching and research experience in Electrical and Electronics Engineering. His extensive career spans several reputable institutions, including the RV Institute of Technology and Management and KLE Dr. M. S. Sheshgiri College of Engineering & Technology. Throughout his career, he has held various positions, demonstrating leadership and commitment to academic excellence, notably as the Head of the Department of ECE at his current institution.

Education ๐ŸŽ“

  1. Ph.D. in Electrical & Electronics Engineering
    Visvesvaraya Technological University, Karnataka, India
    Thesis: “Efficient Glaucoma Detection based on Image Processing Techniques”
    Completed: June 28, 2017
  2. Master of Technology in VLSI Design & Embedded Systems
    Visvesvaraya Technological University, Karnataka, India
    CGPA: 8.68
    Completed: 2009
  3. Bachelor of Engineering in Electronics & Communication
    Karnataka University, Karnataka, India
    Distinction: 71.00%
    Completed: 2001
  4. Pre-University Graduation (PCM)
    PU Board, Karnataka, India
    Percentage: 81.00%
    Completed: 1997
  5. S.S.L.C. (10th Grade)
    Karnataka State Board, Karnataka, India
    Percentage: 81.92%
    Completed: 1995

Work Experience ๐Ÿ’ผ

  • Head of Department of ECE
    RV Institute of Technology and Management, Bangalore
    2024 – Present
  • Associate Professor, PG Coordinator, Department NBA Coordinator
    KLE Dr. M. S. Sheshgiri College of Engineering & Technology, Karnataka, India
    2016 – 2020
  • Assistant Professor
    KLE Dr. M. S. Sheshgiri College of Engineering & Technology, Karnataka, India
    2010 – 2016
  • Senior Lecturer
    KLE Dr. M. S. Sheshgiri College of Engineering & Technology, Karnataka, India
    2010
  • Lecturer
    KLE Dr. M. S. Sheshgiri College of Engineering & Technology, Karnataka, India
    2004
  • Lecturer
    Karnataka Law Societyโ€™s Vasantrao Potdar Polytechnic, Belagavi, Karnataka, India
    January 20, 2003 – April 18, 2003 & July 1, 2003 – March 22, 2004

Achievements ๐Ÿ†

  • Developed innovative image processing techniques for glaucoma detection.
  • Contributed significantly to curriculum development and academic program coordination in engineering.
  • Led various departmental initiatives and projects aimed at enhancing student learning experiences.

Awards and Honors ๐ŸŽ–๏ธ

  • Recipient of the Best Research Paper Award at the National Conference on Emerging Technologies, 2018.
  • Outstanding Faculty Award for excellence in teaching and contribution to student development, 2019.
  • Scholarship for academic excellence during Master’s program at Visvesvaraya Technological University.

Publicationย Top Notes:

Levenberg-Marquardt-optimized neural network for rainfall forecasting

DRN-DSA: A hybrid deep learning network model for precipitation nowcasting using time series data

A Simple and Flexible Higher-order 2D Triangle Mesh Generator with MATLAB

IOT and Embedded Based Smart Baby Cradle

A versatile cubic-curved triangle mesh generator using subparametric transformation for FEM and image processing applications

Ms. Maryam Moshrefizadeh | Computer Vision Awards | Best Researcher Award

Ms. Maryam Moshrefizadeh | Computer Vision Awards | Best Researcher Awardย 

Ms. Maryam Moshrefizadeh, Siant Louis University, United States

Maryam Moshrefizadeh is a Ph.D. student in Computer Science at Saint Louis University, with previous experience as a Graduate Research Assistant at South Dakota State University. She holds a Masterโ€™s degree in Artificial Intelligence from Amirkabir University of Technology and a Bachelor’s degree in Computer Software Engineering from K. N. Toosi University of Technology, both in Tehran, Iran. Maryamโ€™s research interests lie in computer vision, deep learning, and machine learning. Professionally, she has worked as an AI researcher and developer, including roles at DRNEXT.IR, Payesh24, and Cobenefit, where she contributed to the development of AI-driven platforms, machine learning models, and website functionality. She has a strong technical background in programming languages like Python, JavaScript, and C, as well as expertise in frameworks and tools like PyTorch, TensorFlow, Vue.js, and Docker. Maryam is fluent in English and Persian and is passionate about mountaineering, cycling, photography, and outdoor activities.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award

Maryam Moshrefizadeh is a promising and highly capable PhD student with extensive experience and research contributions in the field of Artificial Intelligence (AI), Machine Learning (ML), and Computer Vision. Her academic background, practical work experience, and emerging research output position her as an excellent candidate for the Best Researcher Award.

Education

๐ŸŽ“ Saint Louis University
Ph.D. | Graduate Research Assistant | Computer Science
๐Ÿ“… Jan 2024 โ€‘ Dec 2028 | St. Louis, MO, USA

๐ŸŽ“ South Dakota State University
Ph.D. | Graduate Research Assistant | Computer Science
๐Ÿ“… Aug 2022 โ€‘ Dec 2023 | Brookings, SD, USA

๐ŸŽ“ Amirkabir University of Technology (Polytechnic)
M.S. in Artificial Intelligence
๐Ÿ“… Jan 2014 โ€‘ Sept 2017 | Tehran, Iran

๐ŸŽ“ K. N. Toosi University of Technology
B.S. in Computer Software Engineering
๐Ÿ“… Sept 2009 โ€‘ Aug 2013 | Tehran, Iran

Work Experience

๐Ÿ’ผ DrNext.ir | Developer and AI Researcher
๐Ÿ“… Nov 2020 โ€“ Present
โ€ข Developed prescription writing notepad allowing doctors to type or use a pen ๐Ÿ–Š๏ธ
โ€ข Implemented features for appointment scheduling and clinic reception handling ๐Ÿ—“๏ธ
โ€ข Worked in an agile team with Kanban, Scrum, Jira, and Git ๐Ÿ”ง

๐Ÿ’ผ Payesh24 | AI Engineer
๐Ÿ“… Nov 2017 โ€“ Jul 2020
โ€ข Researched and implemented various AI algorithms and machine learning models ๐Ÿค–
โ€ข Worked with supervised and unsupervised learning algorithms such as SVM and KNN ๐Ÿ“Š

๐Ÿ’ผ BeFine | Developer
๐Ÿ“… Apr 2006 โ€“ Feb 2009
โ€ข Developed and maintained website for diabetic products and information ๐Ÿ’ป
โ€ข Shared health tips and updates on diabetes ๐Ÿฉบ

๐Ÿ’ผ Cobenefit Developer | Remote
๐Ÿ“… Oct 2021 โ€“ Present
โ€ข Develop and maintain websites using Vue.js, ES6, HTML5, CSS3, and SASS ๐ŸŒ

Research Interests

๐Ÿ” Computer Vision | ๐Ÿค– Deep Learning | ๐Ÿ“š Machine Learning

Publicationย Top Notes

EC-WAMI: Event Camera-Based Pose Optimization in Remote Sensing and Wide-Area Motion Imagery

Multimodal Fusion of Heterogeneous Representations for Anomaly Classification in Satellite Imagery