Anandan Sambandam | Cognitive Development | Best Researcher Award

Prof. Anandan Sambandam | Cognitive Development | Best Researcher Award 

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: 

  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 Award 

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

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

📚 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)

🏅 Awards and Honors:

  • Two Best Research Paper Awards 🏆
  • UGC Major Research Project Fellow 🌟

🔬 Research Focus:

  • Digital Image Processing 📷: Enhancing and manipulating images using algorithms to improve their quality and extract useful information.
  • Pattern Recognition 🔍: Identifying patterns and regularities in data, especially in visual formats, to enable automated analysis and classification.
  • Document Image Processing 📄: Analyzing and extracting textual and structural information from scanned or photographed documents.
  • Machine Learning 🤖: Developing algorithms that enable computers to learn from and make predictions based on data.
  • Computer Vision 👁️: Teaching computers to interpret and understand the visual world, enabling them to analyze and make decisions based on image and video data.

📚 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.

🎓 Mentorship:

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

Publications: 

Text Localization and Enhancement of Mobile Camera based Complex Natural Bilingual Text Scene Images📘,

Procedia Computer Science, 2024, cited by 0.

 

Hybridization of Texture Features for Identification of Bi-Lingual Scripts from Camera Images at Wordlevel📗,

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

 

Script identification of camera based bilingual document images using SFTA features📙,

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 features📚,

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

 

Energy-based features for Kannada handwritten digit recognition📕,

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

 

Script identification of camera based bilingual document images using SFTA features📓, I

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

 

Camera-based Bi-lingual script identification at word level using SFTA features📄,

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

 

Segmentation and Text extraction from Document Images: Survey📑,

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

 

Script identification from camera based Tri-Lingual document📂,

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 features📋,

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