Dr. S.Chiranjeevi M.Tech, PhD

Assistant Professor, Computer Science and Engineering

schiranjeevi@rguktn.ac.in

  • Computer Vision
  • Machine Learning
  • Assistant Professor--Malineni Lakshmaiah College of Engineering, Singarayakonda, Dept. of CSE, July 2009 - Oct 2010
  • Assistant Professor--Coastal Institute of Technology and Management, ITM Group, Vizianagaram, Dept. of CSE, November 2012 - Jan 2013
  • Assistant Professor--Gayatri Vidya Parisad College of Engineering (A), Visakhapatnam(AP), Dept. of CSE, Feb 2013 - Nov 2014
  • Teaching Assistant--IIT Guwahati, Dept. of CSE, Dec 2014 - June 2017
  • Assistant Professor--Rajiv Gandhi University of Knowledge Technologies Nuzvid Campus, Dept. of CSE, June 2017 - present
  • Formal Languages and Automata Theory
  • Compiler Design
  • Data Structures
  • C Language
  • Operating Systems
  • Object Oriented Programming through C++
  • Object Oriented Programming through Java
  • Database Management Systems
  • Information Retrieval
  • Digital Image Processing
  • Design and Analysis of Algorithms
  • Data Mining
  • Software Engineering
  • Computer Organization
  • Web Technology
  • Distributed Operating Systems
  • System Audit
  • Completed Faculty Induction Programme, Goa University, from 01-02-2022 to 09-03-2022.
  • Attended one-week STTP on Blackchain Technology and its Applications Building on Ethereum Platform, Dept. of IT, NIT Raipur, during 20-24 July 2020.
  • Attended FDP on Deep Learning Applications, Dept. of Computer Science and Engineering, NIT Warangal, 14-18 September 2020.
  • Attended FDP on Contemporary Areas in Computer Science and Engineering, RGUKT Nuzvid, 2018.
  • Attended a workshop on ISEA-II Sponsored Workshop on Advances in Hardware Security, IIT Guwahati, 2019
  • Attended 42nd International Conference on Very Large Data Bases (VLDB), September 5-9, 2016, New Delhi.
  • Attended 2nd Indian Workshop on Machine Learning (iWML-2016), July 1-3, 2016, IIT Kanpur.
  • Attended Architecture, Algorithms, Analytics for Big data using Cloud and Distributed computing workshop, March 7-11, 2014, NIT-Warangal.
  • Participated A Two-day National Workshop on Advanced Computing and Networking, September 6-7, 2011, JNTU Vizianagaram.
  • ATAL Academy Sponsored Faculty Development Programme (FDP) on Data Analysis Tools & Techniques for Text and Speech Analytics, LBRCE, 14-25 November 2022.
  • Attended a 10-day FDP on Randomized and Approximation Algorithms, Dept. of CSE, NIT Warangal, 20-30 May 2023.
  • Image Processing, Computer Vision, Machine Learning
  • ACM
  • IEEE Professional
  • Scrutinize Architecture, Specification, Quantities and Unitcost of DPR to establish Video wall solution at State Emergency Operation Centre (SEOC), APSDMA, Andhra Pradesh State Disaster Management Authority, March 2018 to June 2018.

Journals

  1. K K Singh, Chiranjeevi Sadu, Vl-aapp: Virtual Lab For Android App Development, Page No: 2530-2536, DOI:20.18001.GSJ.2022.V9I4.22.39369

Conferences

  1. Presented paper titled Graph Similarity Self-Join at 4th ACM IKDD Conference on Data Sciences (CODS), March 9-11, 2017, IIT Madras, Chennai.
  2. Singh Krishna Kumar, Amit Patel, and Chiranjeevi Sadu. Correlation scaled principal component regression. In Intelligent Systems Design and Applications: 17th International Conference on Intelligent Systems Design and Applications (ISDA 2017) held in Delhi, India, December 14-16, 2017, pp. 350-356. Springer International Publishing, 2018. DOI: https://doi.org/10.1007/978-3-319-76348-4_34 [Core-C]
  3. Sadu Chiranjeevi, and Pradip K. Das. Swapping face images based on augmented facial landmarks and its detection. In 2020 IEEE REGION 10 CONFERENCE (TENCON), pp. 456-461. IEEE, 2020. DOI: https://doi.org/10.1109/TENCON50793.2020.9293884 [Core-C]
  4. Singh Krishna Kumar, Sadu Chiranjeevi, and Kethavath Sivalal. Face features-based personality assessment. In International Conference on Computer Graphics, Visualization, Computer Vision and Image Processing. 2021.
  5. Sadu Chiranjeevi, and Pradip K. Das. A defense method against facial adversarial attacks. In TENCON 2021-2021 IEEE Region 10 Conference (TENCON), pp. 459-463. IEEE, 2021. DOI: https://doi. org/10.1109/TENCON54134.2021.9707433 [Core-C]
  6. Sadu Chiranjeevi, and Pradip K. Das. Detection of Geometry-based Adversarial Facial Attacks using Error Level Analysis. In TENCON 2022-2022 IEEE Region 10 Conference (TENCON), pp. 1-6. IEEE, 2022. DOI: https://doi.org/10.1109/TENCON55691.2022.9978132 [Core-C]
  7. Sadu Chiranjeevi, and Pradip K. Das. A Detection Method for Copy-Move Forgery Attacks in Digital Images. In TENCON 2022-2022 IEEE Region 10 Conference (TENCON), pp. 1-6. IEEE, 2022. DOI: https://doi.org/10.1109/TENCON55691.2022.9977490 [Core-C]
  • Sadu Chiranjeevi, Pradip K.Das, Detection of Augmented Facial Landmarks-based Face Swapping, Computer Vision: Applications of Visual AI and Image Processing, 15 (2023), p.307, De Gruyter. DOI: https: //doi.org/10.1515/9783110756722 [Book Chapter: Scopus]
  • BoS Member, Dept. of CSE, RGUKT Nuzvid, March 2022- Till date.
  • BoS Member, School of Technology, Woxen University, Hyderabad, Telangana, Dec 2023- Till date.
  • Head of The Department, Computer Science and Engineering, RGUKT Nuzvid, March 2022 to Till date.
  • Training and Placement Officer (Institute Level), RGUKT Nuzvid, Feb 2021 to Oct 2021.
  • Finance Officer (I/c) (Institute Level), RGUKT Nuzvid, Sep. 2018 to Oct. 2019.
  • Finance Coordinator (Institute Level), RGUKT Nuzvid, 28th Nov 2017 to 18th Sep 2018.
  • Chief Information Officer (Institute Level), RGUKT Nuzvid, 9th Sep 2017 to 27th Nov 2017.
  • Reviewer for IEEE TENCON 2022.
  • Reviewer for IEEE ICCINS 2023.
  • Reviewer for IEEE ICTAI 2016.
  • Reviewer for MIND 2023.
  • Project Coordinator (Department level), from AY 2021-22 to till date.
  • Student mentor for entrepreneurship and leadership development program for AY 2021-22.
  • R & D Coordinator (Department Level) for AY 2019-20.
  • Faculty Development Incharge (Dept. level) for AY 2020-21.
  • Reviewer for International Journal of Computational Vision and Robotics 2023.