Dr. Neelapala Anil Kumar | Medical Image Processing | Excellence in Innovation Award

Dr. Neelapala Anil Kumar | Medical Image Processing | Excellence in Innovation AwardΒ 

Dr. Neelapala Anil Kumar, Alliance University, India

Dr. Neelapala Anil Kumar is an accomplished academic and researcher with a Ph.D. from Visvesvaraya Technological University (VTU), Belagavi, and over 18 years of teaching experience in electronics, embedded systems, and intelligent technologies. Currently serving as an Assistant Professor at Alliance University, Karnataka, he has held previous academic positions at reputed institutions such as Vignan’s IIT, St. Stanley College of Engineering & Technology, and Progressive Engineering College. His expertise spans a wide range of subjects, including Artificial Intelligence and Machine Learning, Embedded Sensor Technology, Augmented Reality, and VLSI Design, both at undergraduate and postgraduate levels. With a strong foundation in electronics and computer engineering, Dr. Anil Kumar has also guided practical laboratory courses across microcontrollers, digital communication, and biomedical instrumentation. He is a member of professional bodies such as IAENG and MISTE and is known for his dedication to developing future-ready engineers through both theoretical and applied instruction.

Professional Profile:

SCOPUS

ORCID

Summary of Suitability: Dr. Neelapala Anil Kumar – Excellence in Innovation Award

Dr. Neelapala Anil Kumar is an accomplished academic and innovator in embedded systems, intelligent technologies, and applied electronics, with nearly two decades of teaching and research experience. His work in smart healthcare systems, embedded sensor technology, AR/VR, and machine vision exemplifies a forward-looking approach to solving real-world problems through engineering innovation. His extensive multidisciplinary teaching across B.Tech, M.Tech, and Ph.D. levels supports a strong case for the Excellence in Innovation Award.

πŸŽ“ Educational Qualifications

  1. Ph.D. – Visvesvaraya Technological University (VTU), Belagavi
    πŸ—“οΈ Completed: May 3, 2024

  2. M.E. in Engineering – Andhra University, Vizag
    πŸ“Š CGPA: 8.9 | πŸ… First Class | πŸ—“οΈ 2009

  3. B.Tech – Jawaharlal Nehru Technological University, Hyderabad
    πŸ“Š 67.9% | πŸ… First Class | πŸ—“οΈ 2005

  4. Diploma in Engineering – S.B.T.E.T (Gudlavalleru)
    πŸ“Š 73.04% | πŸ… First Class | πŸ—“οΈ 2002

  5. S.S.C. – Secondary School Education
    πŸ“Š 74.6% | πŸ… First Class | πŸ—“οΈ 1999

🏫 Work Experience

  1. Assistant Professor – Alliance University, Karnataka
    πŸ—“οΈ June 2014 – Present | πŸ“ 10+ Years

  2. Assistant Professor – Vignan’s IIT, Duvvada, Vizag
    πŸ—“οΈ June 2007 – June 2014 | πŸ“ 7 Years

  3. Assistant Professor – St. Stanley College of Engineering & Technology, Hyderabad
    πŸ—“οΈ Dec 2005 – June 2007 | πŸ“ 1.5 Years

  4. Assistant Professor – Progressive Engineering College, Nalgonda
    πŸ—“οΈ July 2005 – Dec 2005 | πŸ“ 6 Months

πŸ† Achievements & Honors

  • πŸ“œ Successfully completed Ph.D. in 2024 with specialization in Intelligent Systems.

  • πŸ‘¨β€πŸ« Over 18 years of teaching experience across premier engineering institutions.

  • πŸŽ“ Handled a diverse range of subjects including AI & ML, Embedded Systems, and Smart Healthcare.

  • πŸ§ͺ Expert in lab development and instruction in electronics, digital communication, and microcontrollers.

  • 🌟 Recognized for academic excellence and mentoring students in cutting-edge tech areas like AR/VR and biomedical instrumentation.

PublicationΒ Top Notes:

A Novel Electrical Load Forecasting Model Using a Deep Learning Approach

Artificial intelligence-based energy efficiency models in green communications towards 6G

Severity Analysis Automation for Detection of Non-Proliferative Diabetic Retinopathy.

A combined fuzzy backtracking search optimization algorithm to localize retinal blood vessels for diabetic retinopathy

2nd International Symposium on Sustainable Energy and Technological Advancements (ISSETA 2023)” Feb 2023.NIT Meghalaya.

System-on-chip based Automated Optic Disk Segmentation in Retinal Images