Faculty Profile

B. THILAK

MENTOR

Information Technology

Degree	Programme / Specialization	University / Board
PG	Master of Technology	BITS Pilani, Deemed to be University
Ph.D	Computer Science and Engineering	KL University Vijayawada

Institution / Organization	Designation	From	To
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
3. Bellam, T., & Lakshmi Prasanna, P. (2026). A Sentiment-Enhanced Hybrid CNN–GRU–LSTM Framework for Fake News Detection. CINEFORUM, 66(3), 381–392.| Publisher: Federazione Italiana dei Cineforum

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. 100% Results in some of the handle subjects.

1. Life Member of UACEE - SNM20211015103
2. Life Member of IAENG - 296020 (International Association of Engineers)

1. Data Analytics using Python Programming – NPTEL, IIT Roorkee
2. Deep Learning – IIT-Ropar NPTEL
3. Machine Learning – KTH Royal Institute of Technology, Stockholm, Sweden NPTEL

1. FDP 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, KITS, Warangal.
10. INTELLIGENT SYSTEMS FOR SUSTAINABLE DEVELOPMENT by the Department of CSE & IT, St.Peter’s Engineering College, Hyderabad
11. Advanced Training Program on Teaching ( Phase – I ) by CSE Dept, MREC(Autonomous), Hyd
12. Got certified in Deep Learning Learning with 1.5 FDP from IIT-Ropar, NPTEL from July to October 2022
13. FDP in Machine Learning from KTH Royal Institute of Technology, Stockholm, Sweden, NPTEL
14. FDP - Machine Learning with Python IIT Kanpur (EICTA Consortium)
15. FDP - Applied Deep Learning Using Python, by NIT, Kurukshetra, Haryana

1. Conference - Paper Presentation – 4th IEEE World Conference on Applied Intelligence and Computing (AIC-2025), IEEE in association with IETE Delhi Centre
2. Conference - Paper Presentation – 4th International Conference on Artificial Intelligence and Smart Energy (ICAIS-2024), Springer
3. Conference - Paper Presentation – ICICSE Special Session, GNIT, Hyderabad (Springer Supported)
4. Conference - Attended - 9th International Conference on Innovations in Computer Science & Engineering (ICICSE-2021), GNIT Campus Hyderabad (Springer Supported)

1. C Programming Language (PPS)
2. Computer organization and Architecture (COA)
3. Data Analytics using Python
4. Data Base Management Systems (DBMS)
5. Computer Networks
6. OOPS through Java
7. Python Programming
8. C and Data Structures Lab
9. Assembly programming Lab
10. Oracle Lab
11. Java Programming Lab
12. IT Workshop
13. Cisco Packet Tracer Simulation Lab
14. Python for Engineering Lab
15. Cloud Computing

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