Nafis Uddin Khan | Artificial Intelligence | Best Researcher Award

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Dr Nafis Uddin Khan | Artificial Intelligence | Best Researcher Award 

Dr Nafis Uddin Khan, SR University Warangal India, India

Dr. Nafis Uddin Khan is a distinguished academic and researcher at SR University in Warangal, India. His expertise spans a variety of fields, contributing significantly to both the academic community and industry advancements. Dr. Khan’s work is characterized by a strong focus on innovative solutions and sustainable practices, reflecting his commitment to addressing contemporary challenges through research and education. At SR University, he plays a pivotal role in mentoring students and leading research initiatives that aim to drive technological progress and societal impact.

Profile

Orcid

Education

       Bachelor of Engineering (B.E.) in Electronics and Telecommunication Engineering from Amravati University  Maharashtra, in 2003.

       Master of Technology (M.Tech.) in Software Systems from S.A.T.I. Vidisha under Rajiv Gandhi Technological University, Bhopal, in 2008.

        Doctor of Philosophy (Ph.D.) in Signal and Image Processing from the Atal Bihari Vajpayee – Indian Institute of Information Technology & Management, Gwalior

Professional experience

  1. Workshop Coordinator: Coordinated a two-day workshop titled “Synthesis of Wisdom: Crafting AI Tutor Assistants, Navigating Future-Ready Digital Libraries and Elevating Pedagogy in the Age of Skill Enhancement and AI Mastery” on February 02–03, 2024, at the School of CS & AI, SR University, Warangal, India.
  2. Faculty Development Program Coordinator: Coordinated “Utkarsh – Take Flight,” a two-day Faculty Development Program on Leadership and Excellence in Quality Education organized by Jaypee University of Information Technology, Solan (H.P.), on December 22–23, 2022.
  3. Chief Coordinator: Served as Chief Coordinator in a student outreach activity organized by the Department of Electronics and Communication Engineering, Jaypee University of Information Technology, Solan (H.P.), on December 20, 2022.
  4. Invited Session Chair: Served as an Invited Session Chair in the Congress on Intelligent Systems (CIS 2020), World Conference in virtual format, on September 05–06, 2020.
  5. Organizing Committee Member and Reviewer: Participated as an Organizing Committee Member and Reviewer in the Congress on Intelligent Systems (CIS 2020), World Conference in virtual format, on September 05–06, 2020.
  6. Convener: Organized a one-week online short-term course on “Recent Advances in Computational Intelligence for Signal Processing” (RACISP – 2020) at Jaypee University of Information Technology, Solan (H.P.), from August 10–15, 2020.
  7. Coordinator: Coordinated a five-day short-term course on “Recent Advances in Signal and Image Processing” (RASIP – 2019) at Jaypee University of Information Technology, Solan (H.P.), from June 24–28, 2019.
  8. Organizing Committee Member: Served in the organizing committee for the 5th IEEE International Conference on “Signal Processing, Computing and Control” (ICSPC 2019) organized by the Department of Electronics and Communication Engineering, Jaypee University of Information Technology, Solan (H.P.), from October 10–12, 2019.
  9. Invited Session Chair: Chaired an invited session in the 2019 IEEE International Conference on “Image Information Processing” (ICIIP 2019) organized by the Department of Computer Science and Engineering, Jaypee University of Information Technology, Solan (H.P.), from November 15–17, 2019.
  10. Organizing Committee Member: Participated as an organizing committee member in the 4th IEEE International Conference on “Signal Processing, Computing and Control” (ICSPC 2017) at Jaypee University of Information Technology, Solan (H.P.), from September 21–23, 2017.
  11. Invited Session Chair: Served as an invited session chair at the 7th IEEE International Conference on “Computational Intelligence and Communication Networks” (CICN 2015) at Gyan Ganga Institute of Technology and Science, Jabalpur (M.P.), on December 12, 2015.
  12. National Advisory Committee Member: Served on the National Advisory Committee for the National Conference on Contemporary Computing organized by the Department of Computer Science and Information Technology, Chameli Devi Group of Institutions, Indore (M.P.), from October 21–22, 2016.

Research Focus

      Fuzzy Logic and Optimization: Utilizing fuzzy logic for applications in signal and image processing, including the development of fuzzy-based diffusion coefficient functions for selective noise smoothing.

      Medical Image Processing: Enhancing medical imaging techniques, such as de-speckling in ultrasound and X-ray images, and improving image de-noising using soft optimization techniques.

      Pattern Analysis in Machine Intelligence: Investigating pattern analysis and its applications within machine intelligence to improve the accuracy and efficiency of image processing algorithms.

Awards and Honors 

Sivayazi Kappagantula | Autonomous intelligent systems | Best Researcher Award

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Mr. Sivayazi Kappagantula | Autonomous intelligent systems | Best Researcher Award

Mr. Sivayazi Kappagantula, MIT Manipal, India

Dr. Sivayazi Kappagantula is an accomplished Roboticist, experienced in Software, Defense, and Aerospace industries. With expertise in ROS, Python, and SolidWorks, he has excelled in teaching and research roles, notably at Manipal Institute of Technology and Defence Institute of Advanced Technology. His doctoral focus at Vellore Institute of Technology delves into autonomous robotics and reinforcement learning. Dr. Kappagantula’s contributions include designing biomimetic robots and pioneering motion planning algorithms for unmanned vehicles. Recognized for his patents and publications, he continues to shape the field through workshops, conferences, and guided student projects. 🤖📚

 

Publication Profile

Google Scholar

📚 Education

Undertaking doctoral studies at Vellore Institute of Technology, Sivayazi delves into the complexities of motion planning in autonomous robotics, focusing on reinforcement learning and path planning. His master’s thesis explored the control algorithm of a biomimetic robot fish for underwater exploration.

Professional Experience

Sivayazi Kappagantula boasts a rich background in Robotics, having contributed significantly across various sectors including academia, defense, and software industries. Currently serving as an Assistant Professor at Manipal Institute of Technology, Udupi, he supervises academic projects, publishes papers, and conducts robotics lab sessions.

Research Focus

Sivayazi Kappagantula’s research primarily centers around robotics and autonomous systems, with a particular emphasis on developing innovative solutions for obstacle avoidance, navigation, and control in various domains. His work spans diverse applications, including unmanned aerial vehicles (UAVs), biomimetic robot fish, and sea surface vehicles. By leveraging advanced techniques such as fuzzy logic algorithms and reinforcement learning, he aims to enhance the autonomy, efficiency, and adaptability of robotic systems. Through his contributions, Sivayazi endeavors to advance the field of robotics and address real-world challenges in areas like defense, agriculture, and environmental monitoring. 🌐

 

Publication Top Notes