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Dr. Y.Chakrapani
Professor & Dean of ECE Dept
Qualification:
B.Tech(ECE),. M.Tech(EI), Ph.D(Image Processing)
Professional Exp.:
30 Years
Registration Number:
18150407-183429
About
I am an academician in the field of Electronics and Communication Engineering with extensive experience in teaching, mentoring, and academic development. My contributions include curriculum design, academic planning, and the incorporation of emerging technologies into the learning framework to ensure students are equipped with contemporary knowledge and skills.
In addition to academic responsibilities, I have guided and coached students for competitive examinations such as GATE and ESE, enabling many of them to secure admissions in reputed institutions including IITs and NITs, as well as achieve professional success. My focus has consistently been on fostering academic excellence, innovation, and holistic student development.
Academic & Administrative Roles:
- Dean of ECE department, ACE Engineering College
- BOS Chairman of ECE Department, ACE Engineering College
- Member of Academic Council, ACE Engineering College
- Member of Governing Body, ACE Engineering College
- Key Member in framing the Syllabus to train the students in state of art technologies.
- Guided many students in acquiring M Tech admission through GATE in reputed institutes like IITs and NITs.
Educational Details
- Ph.D (ECE), JNTU College of Engineering, Ananthapur – July 2011
- M.Tech (EI), NIT Warangal – June 1993
- B.Tech (ECE), KSRM College of Engineering, Cuddapah – May 1987
Professional Background
- Professor & Dean of ECE Dept, ACE Engineering College, Ankushapur – 2024 to Till Date
- Professor, ECE Department, ACE Engineering College, Ankushapur – 2011 to 2024
- Professor & HOD of ECE Dept, G Pulla Reddy Engineering College –2005 to 2011
- Associate Professor, G Pulla Reddy Engineering College –2000 to 2005
- Assistant Professor, G Pulla Reddy Engineering College –1994 to 2000
Subjects Taught:
- Analog Communications
- Digital Communications
- Signals and Systems
- Digital Image Processing
- Advanced Communications
- Linear Analog and Digital IC Applications
- Computer Networks
- Data Communications
- Electronic Devices and Circuits
- Pulse and Switching Circuits
- Probability Theory and Stochastic Process
- Computer Organization
- Digital Logic Design
Core Research Domains:
- Digital Image Processing
- Soft Computing Techniques
- Mobile Communications
Research Focus:
- PhD Awarded on: “ast Fractal Image Compression employing Soft Computing Techniques”.
Journals Publications
- Y.Chakrapani, K.Soundararajan, “A Comparative approach to Fractal Image Compression using Genetic algorithm and Simulated Annealing technique”, Asian Journal of Information Technology, Medwell Journals, ISSN 1682-3915 , 7(7), 2008, pp 265-289
- Y.Chakrapani, K.Soundararajan, “ Neural Network approach for image feature space classification employing Back-Propagation algorithm”, Artificial Intelligence and Machine Learning, ICGST, ISSN 1687-4856 , Vol 8, Issue III, Dec 2008, pp 39-43 (I.F 1.78)
- Y.Chakrapani, K.Soundararajan, “Hybrid Genetic-Simulated Annealing approach for fractal image compression”, International Journal of Computational Intelligence 4;4, ISSN 1875 -6883, Fall 2008, pp 308-313.
- Y.Chakrapani, K.Soundararajan, “Genetic algorithm applied to fractal image compression”, ARPN Journal of Engineering and Applied Sciences, ISSN 1819-6608 , Vol 4, No 1, Feb 2009, pp 53-58 .
- Y.Chakrapani, KSoundararajan, “Implementation of fractal image compression employing Artificial neural networks”, World Journal of modeling and simulation, ISSN 746-7233 , Vol 4, 2008, No 4, pp 287-295.
- Y.Chakrapani, K.Soundararajan, “Implementation of fractal image compression employing Hybrid Genetic-Neural approach”, International Journal of computational cognition, ISSN 1542-5908 , Vol 7, No 3, Sep 2009, pp 33-39 (I.F1.92)
- Y.Chakrapani, K.Soundararajan, “Implementation of fractal image compression employing Particle Swarm Optimization”, World Journal of modeling and simulation, ISSN 746-7233, Vol 6, 2010, No 1, pp 40-46
- Y.Chakrapani, K.Soundararajan, “Adaptive Neuro Fuzzy Inference System based fractal image compression”, International Journal of Recent trends in Engineering, ISSN 2455-1457 , Vol 2, No 1, Nov 2009, pp 47-51.
- S.Sreekanth,Y.Chakrapani,” Motion Adaptive Compensation Approach For Deinterlacing of Video Sequences”, International Journal of Computer Applications, ISSN 0975-8887, Vol-15-No.3,Feb-2011 I J C A
- S.Sreekanth, Y.Chakrapani, ”Four Field Motion Adaptive Deinterlacing Algorithm”, International Journal of Computer Technology and Applications, ISSN 2229-6093 , Vol 2(5),1343-1351,Sept-Oct 2011. I J C T A (I. F 2.804 )
- S. Fouzia Sulthana, y. chakrapani, “New quality approach for analyzing the quality of Deblocked Images”, International Journal of Engineering Research and Technology, ISSN 2278-0181 , Vol 2(4),1343-1351, April 2013.
- S.Yashwanth Reddy, Y.Chakrapani, “Recovering from a Node failure in Wireless sensor actor networks with minimal topology changes” ISSN 2321-032X , Vol 2(6),704 – 708 ,Sept-Oct 2014.
- S.Chandrasekhar, G.Laxminarayana, Y.Chakrapani, “Novel Hybrid Segmentation techniques for Cardiac Image Processing in Remote Health Care Monitoring Systems”,Journal of Medical Imaging and Health Informatics.Vol.7,1 October.2017.ISSN:2156-7018.(Science Citation Index Expanded (SCIE/SciSearch®)).
- S.Chandrasekhar, G.Laxminarayana, Y.Chakrapani, “A Hybrid Compression Technique for Cardiac Image Analysis in Telecardiology System”, ARPN Journal of Engineering and Applied Sciences. Issue17 volume 11, September 2016.ISSN:1819-6608, PP 10214-10221.(Scopus Indexed with Journal Impact Factor(JIF) 2.5682)
- B.Janardhan Rao, Y.Chakrapani, S.Srinivasa Kumar, “Image Inpainting with Improved Patch Priority and Patch Selection”, IETE Journal of Education, May 2018, ISSN : 0974-7338.
- B Janardhana Rao, Y Chakrapani, S Srinivas Kumar, Hybridized Cuckoo Searchwith Multi-Verse Optimization-Based Patch Matching and Deep Learning Concept for Enhancing Video Inpainting, The Computer Journal, 2021;, bxab067, https://doi.org/10.1093/comjnl/bxab067
Patents:
- Patent No: 2021100092
Title of invention: IMCP-High Stake Examinations: Intelligent Method for Conducting High Stake Examinations Using Machine Learning Platform
- Patent No: 202041029110
Title of invention: I-side stand: Intelligent side stand for Two Wheelers
- Patent number: 6347194
Title of invention: Artificial Intelligence Based Order Taking Device in Restaurants
- Patent number: 396740-001
Title of invention: Artificial Intelligence Based Plant Extract Analysing Device to Identify Disease
- Patent No: 202041020914
Title of invention: MFT- Data discover: Data discover with one member of the family tree using Machine Learning
- Patent No: 202031027653
Title of invention: VD-Mobile App: Virus Detection Mobile App to detect the various types of virus(Covid 19)
Papers Reviewed:
- Journal of Intelligent and Fuzzy Systems
Ph.D Guidance :
Guided two research scholars in successfully obtaining their Ph.D.
Name : Chandrasekhar Sirigiri
- Topic : Investigations on Telemedicine for assisting Diagnosis
- University : JNTU Hyderabad Year : January 2022
Name : B. Janardhana Rao
- Topic : Development and Performance Evaluation of Novel Algorithms for Image and Video Inpainting Techniques
- University : JNTU Kakinada Year : February 2023
FDPs & Workshops Organized and Attended:
More than 30+ FDPs and workshops, including:
- Organised Two Day national level workshop on “PSOC and ARM based Embedded systems training program ”
- Organized a 15 days workshop on “Curriculum development and Evaluation” sponsored by AICTE.
- Organized a 3 day workshop on “Method of Improving Teaching skills” sponsored by NAAC.
- Attended “Digital design with FPGA” .
- National workshop on “Patent awareness and intellectual property rights” sponsored by TIFAC department of science and technology, New Delhi
- Attended Short course on Improving teaching skills conducted by technical teachers training Institute, Chennai, Ministry of human resource development, New Delhi,
- Attended NITTTR Chennai Five day, faculty development programme on “Instructional design and Delivery”
- Attended One week faculty development programme on “MBT system development using capital DSPS”
- Attended Two week faculty development programme on Matlab training program
- Attended Faculty development programme on digital design with FPGA