Anandan Sambandam | Cognitive Development | Best Researcher Award

Prof. Anandan Sambandam | Cognitive Development | Best Researcher AwardΒ 

Anandan Sambandam,National Institute of Technology, Tiruchirappalli,India

 

Anandan Sambandam is a noted academic and researcher affiliated with the National Institute of Technology (NIT) in Tiruchirappalli, India. He holds expertise in [insert area of expertise, e.g., Computer Science, Electrical Engineering] and has made significant contributions to [mention any notable contributions or achievements, e.g., research in renewable energy, development of new algorithms, etc.]. His work is recognized for [mention any awards or recognitions if applicable]. Anandan Sambandam continues to be an influential figure in his field, shaping both academic research and practical applications

Professional Profile:

Education:

  • B.Sc. Chemistry: University of Madras, India (1993)
  • M.Sc. Chemistry: University of Madras, India (1995)
  • Ph.D. Chemistry-Energy Interdisciplinary: University of Madras, India (2002)
  • FTnASc (Fellow of Tamil Nadu Academy of Science): 2010

Academic Positions:

  • Current: Professor in the Department of Chemistry at the National Institute of Technology, Trichy, since March 2018.
  • Previous: Held various academic positions including Head of Department and Associate Professor at the same institute from 2006 onwards.

Research Focus Areas:

  • Nanomaterials
  • Sonochemistry
  • Photocatalysis
  • Dye-sensitized solar cells
  • Perovskite solar cells
  • Organic solar cells
  • Electrochemical and fluorescence sensors

Awards and Recognitions:

Dr. Anandan has received numerous awards and fellowships, highlighting his contributions and achievements:

  • Department of Science & Technology (India) SERC Fast Track Young Scientist Award (2005)
  • Hiyoshi Young Leaf Award (2009)
  • Dr. APJ Abdul Kalam Award (2016)
  • Best Performers Awards from National Institute of Technology (multiple years from 2017 to 2024)

Publications:Β 

  1. Material: Co3O4-CoO@Co electrocatalysts.
    • These are cobalt-based compounds likely used for catalyzing the hydrogen evolution reaction (HER).
  2. Properties:
    • Nonprecious: Indicates these catalysts are cost-effective compared to precious metal alternatives.
    • Shape-controlled: The morphology of the catalysts is intentionally engineered for enhanced performance.
    • Defect-rich: Catalysts with defects can often exhibit higher catalytic activity.
    • Spin-state altering properties: This suggests the ability to modify electron spin states, which can impact catalytic efficiency.
  3. Application:
    • Accelerating HER: Enhancing the rate of hydrogen production, crucial for various energy applications.
    • Large current densities: Ability to sustain high current outputs, relevant for industrial-scale electrolysis.
    • Wide pH range: Functionality across different acidity levels, making them versatile for various environmental conditions.

Gururaj Mukarambi | Cognitive Development | Best Researcher Award

Dr Gururaj Mukarambi | Cognitive Development | Best Researcher AwardΒ 

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

πŸ“š πŸŽ“ Dr. Gururaj Mukarambi completed his MCA (2008), M.Phil. (2010), and Ph.D. (2014) from Gulbarga University. πŸ“š With a rich background in academia, he has served in esteemed institutions, including the Central University of Karnataka and Symbiosis International Deemed University. πŸ–₯️ His research specializes in Digital Image Processing, Pattern Recognition, Machine Learning, and Computer Vision. πŸ† With over 42 published papers, 17 conference presentations, and 189 citations, his contributions are well-recognized. πŸ… 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:

πŸ“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

🏒 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)

πŸ… Awards and Honors:

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

πŸ”¬ Research Focus:

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

πŸ“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.

πŸŽ“ Mentorship:

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

Publications:Β 

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

Procedia Computer Science, 2024, cited by 0.

 

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

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

 

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

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 featuresπŸ“š,

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

 

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

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

 

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

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

 

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

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

 

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

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

 

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

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 featuresπŸ“‹,

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