Faculty Profile

B. THILAK

MENTOR

Information Technology

Qualification PhD (CSE), M.Tech (BITS Pilani)
Specialization • Artificial Intelligence • Machine Learning and Deep Learning • Natural Language Processing • Fake News Detection in Social Networks
Employee ID RTIT080056
DegreeProgramme / Specialization University / Board
PG Master of Technology BITS Pilani, Deemed to be University
Ph.D Computer Science and Engineering KL University Vijayawada
Institution / OrganizationDesignation FromTo
Rajiv Gandhi University of Knowledge Technology Mentor 2008 Till Date
  1. T. Bellam, P.L. Prasanna, Synergistic Approach for Fake News Detection: Bi-GRUs Coupled with Count Vectorizer and TF-IDFs, SN Computer Science, pp.1–12, 2025. Link
  2. Bellam, T., & Prasanna, P. L. (2024). Novel Deep Learning based Sentimental Approach to Identifying Fake News. Measurement: Sensors, 33, 101148. Link
  1. T. Bellam and S. Aakula, "Contextual and Sentiment-Based Hybrid Models for Detecting Fake News on Social Networks," 2025 IEEE 4th World Conference on Applied Intelligence and Computing (AIC), GB Nagar, Gwalior, India, 2025, pp. 323-328, Link
  2. Bellam, T., & Prasanna, P. L. (2024). A Review of Deep Learning Approaches to Identifying Counterfeit Files. In Proceedings of 4th International Conference on AI and Smart Energy. Springer. Link
  3. Reddy, B. T., et al. (2022). Prediction of Spam Mails Using Feature Extraction and Naïve Bayes Algorithms. Lecture Notes in Networks and Systems, 385. Springer. Link
  4. Ravikanth, K., et al. (2021). Implementation of Email Spam Filtering Using Supervised Machine Learning. Journal of Innovation in Computer Science and Engineering Link
  1. Title: AI-Driven Hybrid Deep Learning System Using LSTM Self-Attention Fusion for Real-Time Fake News Detection and Mitigation in Social Networks • Application No.: 202541115406 • Filed: 21-11-2025 • Published: 05-12-2025 • Status: Published Inventors: Thilak Bellam, Dr. P. Lakshmi Prasanna
  2. Intelligent Machine Learning Based ICU Resuscitation Monitoring and Risk Mitigation System Application No.: 202641056907 | Filed: 05 May 2026 | Status: Published Co-Applicants/Inventors: Dr. K. Chandrashekar, Thilak Bellam, Ms. Sabbella Rajani, Mr. Sreedhar Aakula, Ms. S. Guru Jyothi, Dr. Billakanti Srinivasa Rao, Mr. Chitikela Srinivas, Ms. Bhavani Geetha, Mr. Macha Vinod, Mr. T. Chandra Shekar.
  1. Best Paper Award from ICICI2021 conference, 2021
  1. Received Best Paper Award published in ICICSE-2021 journal
  2. I have received Excellent Feedback Report from students & the college management for few handled subjects and was rated [ 4.9/5]
  3. 100% Results in some of the handle subjects.
  4. Got certified in Data Analytics using Python from IIT-Roorkee, NPTEL
  5. Got certified in Deep Learning from IIT-Ropar, NPTEL
  6. Got certified in Machine Learning from KTH Royal Institute of Technology, Stockholm, Sweden, NPTEL, April 2023
  1. Life Member of UACEE - SNM20211015103
  2. Life Member of IAENG - 296020 (International Association of Engineers)
  1. Got certified in Data Analytics using Python Programming with 1.5 FDP from NPTEL – IIT Roorkee
  2. Attended FDP on “Machine Learning and Artificial Intelligence" at IIT Roorkee.
  3. Attended FDP on “Data Science for All”, at NIT Warangal
  4. Attended FDP on “Python 3.4.3 & Python Dijango” at spoken Tutorial IIT – Bombay organized by CMR Engineering College.
  5. Attended Workshop on “PYTHON PROGRAMMING” at Osmania University, Hyderabad.
  6. Attended FDP on “MACHINE LEARNING ALGORITHMS AND APPLICATIONS ON SOCIAL NETWORKS" at VITS-Hyderabad
  7. Attended 6th International Conference of Ensemble classifier Characterized by Genetic Algorithm and Data Mining
  8. Attended FDP on “Cyber Security & Block-Chain Technologies” at GNIT, Hyderabad
  9. “IoT Simulation by Fog Computing and Edge Computing using Open-source Tools” Organized by CSE Dept from 22nd to 27th March, 2021 at KITS, Warangal.
  10. “INTELLIGENT SYSTEMS FOR SUSTAINABLE DEVELOPMENT ”" from the 8th to 12th , June 2021 organized by the Department of Computer Science & Engineering and Information Technology, St.Peter’s Engineering College, Hyderabad
  11. One day National Webinar on Ecology of Classroom - Teacher’s Responsibility “ organised by the Department of Chemistry , Lords Institute of Engineering and Technology, Hyderabad, May, 21
  12. “Advanced Training Program on Teaching ( Phase – I )” held during 09/02/2021 to 15/02/2021 organized by CSE Dept, MREC(Autonomous), Hyd
  13. FDP On “Amazon Web Services” in August 2022 Organised by CSE, RGUKT in collaboration with BRAINOVISION SOLUTION INDIA PVT.LTD & AICTE
  14. Got certified in Deep Learning Learning with 1.5 FDP from IIT-Ropar, NPTEL from July to October 2022
  15. Got certified in Machine Learning with 1.5 FDP from KTH Royal Institute of Technology, Stockholm, Sweden, NPTEL from January to April 2023
  16. Presented a paper and attended two days 4th international Conference on Artificial Intelligence and Smart Energy (ICAIS-2024) on March22-23, 2024.
  17. Machine Learning with Python – Faculty Development Program conducted by the E&ICT Academy, IIT Kanpur (EICTA Consortium) from 20 April 2026 to 02 May 2026.
  1. C Programming Language (PPS) for ECE & EEE
  2. Computer organization and Architecture (COA) for ECE
  3. Data Analytics using Python for CSE
  4. Data Base Management Systems (DBMS) for CSE
  5. Computer Networks for CSE & ECE
  6. OOPS through Java for ECE, Civil, MME
  7. Scripting Languages (Python and PERL) for CSE & ECE
  8. Mini Project (SE and WT) for CSE
  9. Major Project Guidance for CSE
  10. C and Data Structures Lab for ECE & EEE
  11. Assembly programming Lab for ECE
  12. DBMS Lab for CSE
  13. OOPS through Java Lab for ECE & CSE
  14. IT Workshop for CSE
  15. Computer Networks Lab for CSE
  1. Major Project Guidance for E4 CSE Students 24
  2. Minor Project Guidance for E3 CSE Students 93
  1. Campus Recruitments, Head Office, RGUKT, Hyderabad from 2010 to 2015
  2. UG Admissions , Head Office, RGUKT, Hyderabad from 2010 to 2015
  3. Recruitment of Employees , Head Office, RGUKT, Hyderabad from 2010 to 2015
  4. Establishment Section – I, Head Office, RGUKT, Hyderabad from 2013 to 2015
  5. Constitution of Academics and Curriculum Restructurtng Cornrnittee Member, RGUKT, 2022
  6. UG Admissions, Core Active Team Member, RGUKT, Basara