Shweta Koparde | Cognitive Development | Best Researcher Award

Mrs Shweta Koparde | Cognitive Development | Ā Best Researcher AwardĀ 

D Y Patil University,Ā 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 šŸ–„ļø, she has also guided colleges through NBA accreditation and contributed to SPPU syllabus revisions šŸ“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 ā€œBest Outgoing Studentā€ for her M.E. from MCOERC, Nashik šŸ†.

 

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 šŸŽ“āœØ 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 šŸŽ–ļøšŸ…S.S.C. (Secondary School Certificate) Jana Prabodhini, Akurdi, Pune Board of Pune 87.06% First Class with Distinction šŸ†šŸ“œ

Technical Skill Sets

Operating Systems: Windows, Linux, Ubuntu, Android šŸ–„ļøšŸ§šŸ“± Programming Languages: Python, C, C++, VB 6, Java, VB.Net, Android Bundle, Android Studio šŸ’»šŸ“² Databases: Oracle 9i, SQLite šŸ—„ļø Tools: Rational Rose, Lex, Yaac, NS2 šŸ› ļøšŸ”§

Work Experience

Assistant Professor

Guided four colleges (KBT COE, Nasik; PCCOE Akurdi; NMIT Talegaon; Vidyavardhini College of Engg & Technology, Mumbai) for NBA visit šŸ«šŸ‘Øā€šŸ«Successfully registered for PhD in Computer Engineering at RAIT, Nerul, and DY Patil University šŸ“ššŸ“Worked as member in SPPU syllabus revision for TE 2019 and BE 2019 Course šŸ“‹Served as SPPU Paper setter for subjects SPOS and Augmented Reality šŸ“šŸ“šInstitute NBA Coordinator & Criteria-10 Coordinator šŸ…ISO Coordinator šŸ¢āœ”ļøIn charge for direct second-year admission process šŸ«PBL coordinator for Second Year Project šŸ”Higher study cell coordinator šŸ“ˆšŸŽ“Reviewer and session chair for CPGCON -2016 šŸ—£ļøšŸ“‘NSS member and coordinator at various colleges šŸŒ±šŸ¤External examiner for university exams šŸŽ“

Software Engineer (2.5 years)

Synthesis Software, Pune šŸ–„ļøWinjit Technologies, Nashik šŸ’¼

Subjects Taught

Computer Networks 🌐 System Programming & Operating System šŸ–„ļø Artificial Intelligence & Robotics šŸ¤– Digital Electronics & Logic Design šŸ”Œ Smart System Design and Application šŸ—ļøĀ  Theory of Computation šŸ“š Operating System Design šŸ–„ļø Principles of Programming Languages šŸ’» Discrete Structures 🧮 Software Architecture šŸ›ļø Object-Oriented Programming 🌟  Mobile Computing šŸ“±

Achievements

  • Received the ā€œBest Outgoing Studentā€ Award for M.E. from MCOERC, Nashik šŸ…šŸŽ“

Activities & Contributions

Completed multiple MOOC certifications in DevOps and IoT under PBL via Coursera šŸ“œšŸ’” Coordinated an event on “Architecting the Next Generation Governance” with Dr. K. Subramanian šŸŽ¤šŸ“Š Worked in prize distribution committee for annual functions šŸŽ‰ Maintained and managed student achievement records šŸ“ˆšŸ“Š Worked in ARC for 5 years and on mandatory disclosure for compliance reports šŸ“‹āœ”ļø

Research Focus

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

publication

 

 

 

Gururaj Mukarambi | Cognitive Development | Best Researcher Award

Dr Gururaj Mukarambi | Cognitive Development | Best Researcher AwardĀ 

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

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

Professional Profile:

šŸ“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

šŸ¢ 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)

šŸ… Awards and Honors:

  • Two Best Research Paper Awards šŸ†
  • UGC Major Research Project Fellow 🌟

šŸ”¬ Research Focus:

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

šŸ“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.

šŸŽ“ Mentorship:

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

Publications:Ā 

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

Procedia Computer Science, 2024, cited by 0.

 

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

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

 

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

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 featuresšŸ“š,

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

 

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

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

 

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

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

 

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

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

 

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

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

 

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

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 featuresšŸ“‹,

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