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Dr.S. Raghu

Assoc. Professor

Qualification:
B.Tech (I T),.M.Tech (CSE), Ph.D (CSE)

Professional Exp.:
15 Years

Registration Number:
2728-190506-120534

Email Address:
raghusalla@aceec.ac.in

Mobile Number:
9959569688

About

Dr.S. Raghu, a well qualified professional teaching experience of 15 years in the field of Computer Science and Engineering. Over the years, he has made significant contributions to both undergraduate and postgraduate education, particularly in specialized areas such as Formal Languages and Automata Theory, Compiler Design and Databases.

His expertise extends beyond the classroom, as he has been actively involved in research focusing on Image Processing and Deep Learning particularly in the domain of Medical Image Processing. His Teaching and research not only focuses on theoretical concepts but also on practical implementation of those concepts to the real world .

Dr.S. Raghu is passionate towards teaching which ultimately reflects in his enthusiasm towards education and research.  His unique skills in teaching and learning process were always positively acknowledged by the student community and his colleagues at various institutes.

Educational Details

  • Ph.D (Computer Science & Engineering), Osmania University, Hyderabad – Oct. 2023.
  • M.Tech (CSE), JNTU College of Engineering, Kakinada – Nov 2007. 
  • B.Tech (IT), Kakatiya Institute of Technology & Science, Warangal, Oct–2005. 
  • Intermediate (MPC), SR Nava Vignana Bharathi Junior College, Hanamkonda March–2001.
  • SSC, St. Gabriel’s High School, Kazipet, March –1999. 

Professional Background

  • Assoc. Professor, ACE Engineering College, Ankushapur – May 2025 to Till Date.
  • Asst. Professor, KITS Warangal – November 2022 to April 2025.
  • Asst. Professor, Chaitanya Institute of Technology & Science, Hanamkonda – September 2020 to October 2022.
  • Asst. Professor, Avanthi Institute of Engineering and Technology, Gunthapally (V), Ramoji film city, Hyderabad – June 2019 to September 2020.
  • Asst. Professor, Chaitanya Institute of Technology & Science, Hanamkonda – July 2016 to May 2019.
  • Full Time Research Scholar, Dept. of CSE, Osmania University, May 2012- June 2016. 
  • Asst. Professor, Chaitanya Institute of Technology & Science, Hanamkonda – June 2010 to April 2012.

Subjects Taught:

  • Operating Systems
  • Database Management Systems
  • Computer Networks
  • Theory of Computation
  • Compiler Design
  • Computer Organization
  • OOPS through C++
  • C and Data Structures.
  • Artificial Intelligence
  • Python Programming
  • OOPS through JAVA 
  • Principles of Programming Languages

Core Research Domains:

  • Image Processing
  • Machine Learning
  • Deep Learning

Research Focus:

PhD Thesis Title:”A Convolutional Neural Network Model for Automatic Segmentation of Brain MRI Images”.

Journals and Conferences:

  • Praveen k, Raghu S, Cryptographic Analysis and Security Issues On Cloud Computing, International Journal of Advances in Computer Networks and Its Security– IJCNS, 2015.
  • Raghu S, Lakshmi Rajamani, A Survey on Neural Network based Automatic Segmentation of Brain Magnetic Resonance Images, International Journal of Research and Applications-IJRA, 2015.
  • D. Divya, S. Raghu, Secure Network Coding Protocols to support user Anonymity and Third-Party Public Auditing, IJARTET, 2017.
  •  J.Ramya Krishna, S. Raghu, Achieving Fine-Grained Access Control and Avoiding Collision Attacks by Using Secure Key Revocation Scheme, IJARTET, 2017.
  • S. Raghu, Dr. T. Adi Lakshmi, Brain Tumor Detection based on MRI Image Segmentation using U-Net, Annals of Romanian Society of Cell Biology, Vol. 26, Issue 1, 2022, pp. 579-594.
  • S. Raghu, Dr. T. Adi Lakshmi, Noise Reduction using Gaussian and Non Local Means Filtering Techniques in Brain MR Images, Stochastic Modelling and Applications, Vol. 26, No.3, 2022, pp. 233-238.
  • S. Raghu, Dr. T. Adi Lakshmi, An Investigation of Various Medical Image Segmentation Techniques, International Journal of Scientific Research in Science, Engineering and Technology, Vol. 9, Issue 1.

Book Chapter/ Book Contribution:

  • Contributor for textbook “Implication of IoT in Public Projects, authored one chapter.
  • Contributor for textbook “Deep Learning Foundations: Neural Networks to Advanced AI Models”

Patents:

  • Machine Learning Model Based Prediction of Alzheimers Disease Progression on Brain Imaging Data (2025)
  • Development of Improved Whale Optimization-Based FCM Clustering for Image Watermarking (2024)
  • Qualified APSET-2012 in Computer Science and Applications.
  • Qualified GATE 2007 and GATE 2022 in Computer Science and Engineering. 
  • Awarded UGC Rajiv Gandhi National Fellowship 2011 for pursuing full time PhD.
  • Awarded NCC ‘C’ Certificate at Under Graduate level.
  • Elite+ Silver Certification by NPTEL “Introduction to Automata, Languages and Computation” Jan-April 2023.
  • Elite+ Silver Certification by NPTEL “Problem Solving through Programming in C” Jan-April 2023.
  • Elite certification byNPTELThe Joy of Computing using Python”, July-Oct 2023.

 FDPs & Workshops Attended:

More than 10+ FDPs and workshops, including:

  • UGC-NEP Orientation
  • Application of Image Processing and Security, TEQIP sponsored Workshop, organized by Dept of CSE, JNTU Kakinada from 23rd to 24th March 2009.
  • Data Ware Housing and Business Intelligence, TEQIP sponsored Workshop, organized by Dept of CSE, JNTU Kakinada from 9th to 11th January 2008.
  • Development of Forecasting Models for Finance and Market Data Prediction using Computational Intelligence Techniques, TEQIP sponsored National Workshop, organized by Centre for Management Studies, NIT Warangal, from 19th   to 21st December 2008.
  • Teaching Ethics and Personality Development for Young Engineering Faculty, organized by Dept of CSE, Ramappa Engineering College, Warangal, from 29th to 30th June 2011
  • Short-Term Course on Engineering Research Methodology organized by Dept. of Mechanical Engineering, Osmania University, Hyderabad from 2nd to 4th February 2012
  • Research Methodologies and Issues in Computer Science and Information Technology, UGC Sponsored Workshop organized by Dept. of Computer Science, Kakatiya University, Warangal.
  • Indo-Chile Workshop on BIG DATA, 2014, sponsored by DST, Govt. of India, organized by Dept. of Computer Science and Information Systems, BITS Pilani, Goa Campus.
  • Java Fundamentals and Programming, FDP sponsored by TASK, Govt. of Telangana, held at KITS Warangal, from 11th to 15th August 2017.
  • ANN and Deep Learning, One Week FDP jointly organized by E&ICT Academies through National Knowledge Network, funded by MeitY, Govt. of India at NIT Warangal, from 11th-15th June, 2018. 
  • Machine Learning and its Applications, Three Day National Workshop organized by Vasavi College of Engineering, Hyderabad, from 28th to 30th November 2018.
  • NPTEL-AICTE FDP in “Introduction to Automata, Languages and Computation”, Jan-Apr 2023.
  • NPTEL-AICTE FDP in “Problem Solving through Programming in C”, Jan-Apr 2023.
  • NPTEL-AICTE FDP in “The Joy of Computing Using Python” July-October 2023.