• Signal & Image Processing

• Working as Assistant Professor in RGUKT Nuzvid, since June,2021.
• Worked as Associate Professor for 6 Years (from 2015 to 2021) in NEC, Narasaraopet (Autonomous Institution, affiliated to JNTUK Kakinada.)
• Worked as Assistant Professor for 5 Years (from 2010 to 2015) in SACET (Autonomous Institution, affiliated to JNTUK, Kakinada.)

• 1. Embedded Systems 2. Digital Signal Processing 3. Image Processing 4. Medical Image Analysis 5. Machine Learning 6. Computer Networks. 7. Integrated Circuits 8. Wireless Communications 9. Pattern Recognition

• One week FDP on VLSI Chip Design Hands-on using Open Source EDA jointly organized by Electronics and ICT academics supported by Ministry of Electronics and information Technology, Govt. of India from July 8-12, 2019.
• A one week FDP on Learning Process & Learning Styles from 17th -22nd June, 2015.
• AICTE sponsored Two week FDP cum Workshop on New Frontiers in Multiscale modeling of Advanced Materials from 10th -25th November, 2017.
• AICTE sponsored Two week FDP on Emerging Trends in Machine Learning for Biomedical Applications from 29th July-10th August, 2019.
• Three Day National Level FDP on Machine Learning in healthcare from 3rd-5th July, 2023 organized by KLH University Hyderabad.
• 10 Hours National FDP on machine Learning and artificial Intelligence from 13-17 November, 2023 organized by APSSDC.
• 10 Hours National FDP on NLP, Computer Vision and artificial Intelligence from 4-8 December , 2023 organized by APSSDC.
• 5 Days International FDP on Advancements in Medical imaging Through machine learning and Deep learning from 11-15 march, 2024 organized by KLH University Hyderabad.
• 5 Days International FDP on Gen-AI and Prompt Engineering from 16-20 September 2024, organized by Marwadi University, Rajkot.

• Embedded Systems; Signal & Image Processing; Fuzzy Logic; Machine Learning

• Received Award of Excellence as chief faculty coordinator in NRC 2013-14 (Indias Biggest Robotics Championship) organized by IIT Bombay.

• 1. LMISTE 2. LMIAENG

• On-going Project titled " IoT Enabled WHD's" sponsored by RGUKT, under Seed grant with funding of 2 Lakhs.

Journals

1. Charles Stud Angalakurthi, Ramamurthy Nallagarla, Super Resolution of MR Brain Images Using Compressive Sensing and Fuzzy Logical Rules, Brazilian Archives of Biology and Technology Volume 64, 2021
2. Charles Stud Angalakurthi et.al, Super Resolution of MRI Brain Images Using Masks And Fuzzy Strategic Rules, Industrial Engineering Journal, Volume : 53, Issue 12, No.3, December : 2024
3. P Sudheer Chakravarthi, D Rajendra Prasad & A Charles Stud, A Modified Algorithm for the Restoration of Digital Images and Videos by Removing High Density Salt and Pepper Noise, International journal of advanced and innovative research (IJAIR), ISSN: 2278-7844, Vol. 2, Issue 7, 2013, pp: 136-140. http://ijairjournal.in/wwwroot/ijairp14.php
4. K.V.SUBBARAO, CHARLES STUD, Implementation of Partial Derivatives and Bilateral Filter for Image Enhancement, International Journal of advanced technology and Innovative research, ISSN 23482370, vol.06, Issue 11, November-2014, pp: 1288-1295.
5. Charles Stud A and N Rama Murthy, Image Enhancement Techniques for Super Resolution of an Image: A Technical Review, International Journal of Trend in Research and Development (IJTRD), ISSN: 2394-9333, December 2017, pp: 698-701.
6. Venigandla Lavanya, A. Charles Stud, Design of Fast and Low Area Pre-Encoded Multipliers Based on NR4SD Encoding technique for DSP/Multimedia applications, International Journal of Research In Advanced Engineering Technologies (IJRAET), Volume 6, Issue 3, JUL 2018.
7. G. S. J. Victor, A.Charles Stud & V. Venkata Rao, Filter Bank Multi-Carrier Method for Channel Estimation, International Journal of Research, ISSN No: 2236-6124, Volume VIII, Issue VI, JUNE 2019, pp: 5588-5595. https://ijrpublisher.com/index.php/volume-8-issue-6-june-2019/
8. Srinivasa Rao G, Charles Stud A, Srinivasa Rao N, An Autoencoder Neural Network Approach for High-Resolution images from low-resolution images, Sambodhi (UGC Care Journal), ISSN: 2249-6661, Vol-43, No.-02 (V) July-September (2020), pp: 102-109. Publisher: Lalbhai Dalpatbhai Institute of Technology.
9. Charles Stud A and N Rama Murthy, Interpolation of the Histogramed MR Brain Images for Resolution Enhancement, International Journal of Innovative Technology and Exploring Engineering (IJITEE), ISSN: 2278-3075, Volume-8, Issue-11, September 2019, pp:1253-1256. https://www.ijitee.org/portfolio-item/J94250881019/
10. Srinivasa Rao and Charles Stud Angalakurthi, Performance Evaluation of the Image processing area using Machine learning, Science, Technology and Development, ISSN: 0950-0707, volume 10, Issue 3, 2021. https://journalstd.com/volume-x-issue-3-2021/

Conferences

1. Charles Stud Angalakurthi, Ramamurthy Nallagarla, Fuzzy Numerical Morphological approach for Super Resolution of MR Brain Images, 2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC), December 2021
2. A Charles Stud, Resolution Enhancement of Covid-19 Chest X-Ray Images Using Fuzzy Logic, Virtual - International Conference on Advances in Signal Processing and Communications 2K21 (NEC ICASPC-2K21) from 23-24 July 2021.
3. A Charles Stud, Enhancement of Mr Brain Images Using Fuzzy Interpolation, Virtual - International Conference on Advances in Signal Processing and Communications 2K21 (NEC ICASPC-2K21) from 23-24 July 2021
4. Charles Stud A and N Rama Murthy, Image Enhancement Techniques for Super Resolution of an Image: A Technical Review, National Conference on Recent Innovations in Engineering and Technology (RIET -2017), December-2017.
5. Charles Stud A, Srinivasa Rao G & Srinivasa Rao N, A Neural Network approach for image compression using k-means clustering, National conference on Control, Computations & Communications (NCCCC 2020), June 2020.
6. Charles Stud A, Srinivasa Rao G & Srinivasa Rao N, An Autoencoder Neural Network approach for high rsolution images from low rsolution images, A Two days online international conference on Recent trends in Computer Science & Information Technology (ICRCSIT-20), June 2020.
7. Charles Stud Angalakurthi and Rama Murthy Nallagarla, Super Resolution of MR Brain Images using Fuzzy-Interpolation, AICTE sponsored national e-conference Technology for Impactful and Sustainable Development of the Society, (TISDS-2020), 15-16, December 2020.

• 1. Published a chapter titled Experiments on the Interpolation of the Histogramed MR Brain Images for Resolution Enhancement in text Book titled Recent Developments in Engineering Research Vol.2 by Book publisher International, August-2020.

• 1. NAAC Internal Committee Member