Shweta Koparde | Cognitive Development | Best Researcher Award

Mrs Shweta Koparde | Cognitive Development | ย Best Researcher Awardย 

D Y Patil University,ย Navi Mumbai, India

Shweta Ashish Koparde is a dedicated Computer Engineering academic currently pursuing her PhD at D.Y. Patil University, Mumbai. She holds an M.E. with Distinction and a B.E. from Pune University. With extensive teaching experience in subjects like AI and Computer Networks ๐Ÿ–ฅ๏ธ, she has also guided colleges through NBA accreditation and contributed to SPPU syllabus revisions ๐Ÿ“š. Skilled in Python, C++, Java, and more, Shweta blends practical industry experience from her time as a Software Engineer with her academic pursuits. She was awarded the โ€œBest Outgoing Studentโ€ for her M.E. from MCOERC, Nashik ๐Ÿ†.

 

Professional Profile:

Education

PhD in Computer Engineering (Pursuing) DY Patil University, Mumbai RPS-II completed M.E. in Computer Engineering (2013)University of Pune First Class with Distinction from MCOERC, Nashik 7.88 CGPA ๐ŸŽ“โœจ B.E. in Computer Engineering (2005) University of Pune First Class from VIT, Pune 64.06%

H.S.C. (High School Certificate) S.M.V Akurdi, Pune Board of Pune 84.00% First Class with Distinction ๐ŸŽ–๏ธ๐Ÿ…S.S.C. (Secondary School Certificate) Jana Prabodhini, Akurdi, Pune Board of Pune 87.06% First Class with Distinction ๐Ÿ†๐Ÿ“œ

Technical Skill Sets

Operating Systems: Windows, Linux, Ubuntu, Android ๐Ÿ–ฅ๏ธ๐Ÿง๐Ÿ“ฑ Programming Languages: Python, C, C++, VB 6, Java, VB.Net, Android Bundle, Android Studio ๐Ÿ’ป๐Ÿ“ฒ Databases: Oracle 9i, SQLite ๐Ÿ—„๏ธ Tools: Rational Rose, Lex, Yaac, NS2 ๐Ÿ› ๏ธ๐Ÿ”ง

Work Experience

Assistant Professor

Guided four colleges (KBT COE, Nasik; PCCOE Akurdi; NMIT Talegaon; Vidyavardhini College of Engg & Technology, Mumbai) for NBA visit ๐Ÿซ๐Ÿ‘จโ€๐ŸซSuccessfully registered for PhD in Computer Engineering at RAIT, Nerul, and DY Patil University ๐Ÿ“š๐Ÿ“Worked as member in SPPU syllabus revision for TE 2019 and BE 2019 Course ๐Ÿ“‹Served as SPPU Paper setter for subjects SPOS and Augmented Reality ๐Ÿ“๐Ÿ“šInstitute NBA Coordinator & Criteria-10 Coordinator ๐Ÿ…ISO Coordinator ๐Ÿขโœ”๏ธIn charge for direct second-year admission process ๐ŸซPBL coordinator for Second Year Project ๐Ÿ”Higher study cell coordinator ๐Ÿ“ˆ๐ŸŽ“Reviewer and session chair for CPGCON -2016 ๐Ÿ—ฃ๏ธ๐Ÿ“‘NSS member and coordinator at various colleges ๐ŸŒฑ๐ŸคExternal examiner for university exams ๐ŸŽ“

Software Engineer (2.5 years)

Synthesis Software, Pune ๐Ÿ–ฅ๏ธWinjit Technologies, Nashik ๐Ÿ’ผ

Subjects Taught

Computer Networks ๐ŸŒ System Programming & Operating System ๐Ÿ–ฅ๏ธ Artificial Intelligence & Robotics ๐Ÿค– Digital Electronics & Logic Design ๐Ÿ”Œ Smart System Design and Application ๐Ÿ—๏ธย  Theory of Computation ๐Ÿ“š Operating System Design ๐Ÿ–ฅ๏ธ Principles of Programming Languages ๐Ÿ’ป Discrete Structures ๐Ÿงฎ Software Architecture ๐Ÿ›๏ธ Object-Oriented Programming ๐ŸŒŸย  Mobile Computing ๐Ÿ“ฑ

Achievements

  • Received the โ€œBest Outgoing Studentโ€ Award for M.E. from MCOERC, Nashik ๐Ÿ…๐ŸŽ“

Activities & Contributions

Completed multiple MOOC certifications in DevOps and IoT under PBL via Coursera ๐Ÿ“œ๐Ÿ’ก Coordinated an event on “Architecting the Next Generation Governance” with Dr. K. Subramanian ๐ŸŽค๐Ÿ“Š Worked in prize distribution committee for annual functions ๐ŸŽ‰ Maintained and managed student achievement records ๐Ÿ“ˆ๐Ÿ“Š Worked in ARC for 5 years and on mandatory disclosure for compliance reports ๐Ÿ“‹โœ”๏ธ

Research Focus

Currently pursuing a PhD in Computer Engineering, focusing on advanced computational methods and their applications in real-world problems ๐Ÿง ๐Ÿ” Engaged in syllabus revision and paper setting for advanced computer engineering courses, contributing to academic standards and curriculum development ๐Ÿ“šโœจ

publication

 

 

 

Gururaj Mukarambi | Cognitive Development | Best Researcher Award

Dr Gururaj Mukarambi | Cognitive Development | Best Researcher Awardย 

Senior Assistant Professor at ย Central University of Karnataka, Kalaburagi,India

๐Ÿ“š ๐ŸŽ“ Dr. Gururaj Mukarambi completed his MCA (2008), M.Phil. (2010), and Ph.D. (2014) from Gulbarga University. ๐Ÿ“š With a rich background in academia, he has served in esteemed institutions, including the Central University of Karnataka and Symbiosis International Deemed University. ๐Ÿ–ฅ๏ธ His research specializes in Digital Image Processing, Pattern Recognition, Machine Learning, and Computer Vision. ๐Ÿ† With over 42 published papers, 17 conference presentations, and 189 citations, his contributions are well-recognized. ๐Ÿ… He has received two best research paper awards and actively participates in international conferences and committees. ๐ŸŒ Additionally, he guides students in diverse computer science courses and projects.

Professional Profile:

๐Ÿ“š Education:

  • Ph.D. in Computer Science, Gulbarga University, 2014
  • M.Phil. in Computer Science, Gulbarga University, 2010
  • MCA (Master of Computer Applications), Gulbarga University, 2008

๐Ÿข Professional Experience:

  • Assistant Professor, Central University of Karnataka, Kadaganchi (since November 2019)
  • Assistant Professor, Symbiosis Institute of Computer Studies and Research, Pune (July 2017 – November 2019)
  • Guest Lecturer, Department of Computer Science, Gulbarga University (September 2015 – May 2017)
  • Assistant Professor (Contract), Department of Computer Science, Central University of Karnataka (May 2014 – June 2015)

๐Ÿ… Awards and Honors:

  • Two Best Research Paper Awards ๐Ÿ†
  • UGC Major Research Project Fellow ๐ŸŒŸ

๐Ÿ”ฌ Research Focus:

  • Digital Image Processing ๐Ÿ“ท: Enhancing and manipulating images using algorithms to improve their quality and extract useful information.
  • Pattern Recognition ๐Ÿ”: Identifying patterns and regularities in data, especially in visual formats, to enable automated analysis and classification.
  • Document Image Processing ๐Ÿ“„: Analyzing and extracting textual and structural information from scanned or photographed documents.
  • Machine Learning ๐Ÿค–: Developing algorithms that enable computers to learn from and make predictions based on data.
  • Computer Vision ๐Ÿ‘๏ธ: Teaching computers to interpret and understand the visual world, enabling them to analyze and make decisions based on image and video data.

๐Ÿ“š Teaching:

  • Courses like Digital Image Processing, Computer Vision, Data Structure, Database Management System, Operating System, Object-Oriented Analysis and Design using UML, Java Programming, Web Technology, Data Communication and Computer Networks, Internetworking, etc.

๐ŸŽ“ Mentorship:

  • Guided over 70 students in their Masters of Computer Applications, Bachelor of Computer Applications, and Technology project dissertations.

Publications:ย 

Text Localization and Enhancement of Mobile Camera based Complex Natural Bilingual Text Scene Images๐Ÿ“˜,

Procedia Computer Science, 2024, cited by 0.

 

Hybridization of Texture Features for Identification of Bi-Lingual Scripts from Camera Images at Wordlevel๐Ÿ“—,

Lecture Notes in Electrical Engineering, 2023, cited by 1.

 

Script identification of camera based bilingual document images using SFTA features๐Ÿ“™,

Research Anthology on Bilingual and Multilingual Education, 2021, cited by 0.

 

Camera-based tri-lingual script identification at word level using a combination of SFTA and LBP features๐Ÿ“š,

International Journal of Advanced Science and Technology, 2020,cited by 1.

 

Energy-based features for Kannada handwritten digit recognition๐Ÿ“•,

International Journal of Computational Vision and Robotics, 2020, cited by 2.

 

Script identification of camera based bilingual document images using SFTA features๐Ÿ““, I

nternational Journal of Technology and Human Interaction, 2019, cited by 2.

 

Camera-based Bi-lingual script identification at word level using SFTA features๐Ÿ“„,

International Journal of Recent Technology and Engineering, 2019, cited by 1.

 

Segmentation and Text extraction from Document Images: Survey๐Ÿ“‘,

2019 Innovations in Power and Advanced Computing Technologies, i-PACT 2019, 2019, cited by 1.

 

Script identification from camera based Tri-Lingual document๐Ÿ“‚,

Proceedings of 2017 3rd IEEE International Conference on Sensing, Signal Processing and Security, ICSSS 2017,2017, cited by 6.

 

Word retrieval from Kannada document images using hog and morphological features๐Ÿ“‹,

Communications in Computer and Information Science, 2017, cited by 0.