Dr. Rohit Beniwal

Dr. Rohit Beniwal has received his Ph.D. (Computer Engineering) from University of Delhi, India. He did his M.Tech (Master of Technology) and B.Tech (Bachelor of Technology) degrees in Information Technology from University School of Infomation, Communication & Technology (USICT), Guru Gobind Singh Indraprastha University (GGSIPU), Delhi. He is currently working as a University Assistant Professor in Department of Computer Science & Engineering at the Delhi Technological University, Delhi, India. He has more than 15+ years of teaching and research experience. He is member of various technical societies such as ACM, IEEE, IEANG, Computer Society of India (CSI), and Indian Society of Technical Education (ISTE). He has guided many Ph.D. and masters’ scholars. He has 60+ publications to his credit in various international and national journals/ conferences. His research interests are in the area of Artificial Intelligence, Machine Learning, Data Analytics, Computer Vision, and Cyber Informatics.

Post Graduate: Predictive Modelling, Software Project Management, Object Oreinted Software Engineering, Advanced Semantic Web.

Under Graduate: Machine Learning, Operating Systems, Database Management System, Software Engineering, OOP using C++.

•  Member, Institute of Electrical and Electronics Engineers (IEEE)
•  Member, Association for Computing Machinery (ACM) 
•  Member, International Association of Engineers (IAENG)
• Life Member, Computer Society of India (CSI) 
• Member, Institution of Electronics and Telecommunication Engineers  (IETE) 
• Life Member, Indian Society for Technical Education (ISTE)

Research Profile

 

Research Publications (Last 5 years Only)

Journals Papers

1. Achari, S., Kumar, S. & Beniwal, R. (2026). GCN-SynDCL: Imbalanced Node Classification via GCN and Synthetic Node Generation using Dynamic Curriculum Learning. IEEE Transactions on Network Science and Engineering. IEEE. [Accepted] [SCI Indexed IF:7.9]
2. Kumar, N., & Beniwal, R. (2025). A Nature Inspired Multi-Objective Green Routing Protocol for IoT-enabled SDWSNs. Wiley Transactions on Emerging Telecommunications Technologies, 36(6), e70199. Wiley [SCI Indexed IF:2.5]
3. Beniwal, R., Kumar, V., & Sharma, V. (2025). A Multi?Cluster Security Framework for Healthcare IoT: The Synergy of Redundant Byzantine Fault Tolerance with Extensions and Coati-Based Network. Wiley Transactions on Emerging Telecommunications Technologies. Wiley. [SCI Indexed IF:2.5]
4. Beniwal, R., & Saraswat, P. (2024). A Hybrid BERT-CPSO Model for Multi-class Depression Detection using Pure Hindi and Hinglish Multimodal Data on Social Media. Computers & Electrical Engineering, 120, 109786. Elsevier. [SCI Indexed IF:4.9]
5. Kumar, N., & Beniwal, R. (2024). A Multi-Constrained Green Routing Protocol for IoT-based Software-Defined WSN. Concurrency and Computation: Practice and Experience. Wiley, e8306. [SCI Indexed IF:1.5]
6. Kumar, A., Jain, D., & Beniwal, R. (2024). HindiPersonalityNet: Personality Detection in Hindi Conversational Data using Deep Learning with Static Embedding. ACM Transactions on Asian and Low-Resource Language Information Processing, 23(8), 1-13. ACM. [SCI Indexed IF:2]
7. Beniwal, R., & Kumar, N. (2024). Energy Optimized Artificial Hummingbird Algorithm for Routing in IoT-Based Software-Defined WSN. International Journal of Communication Systems, e5748. Wiley. [SCI Indexed IF:1.8]
8. Beniwal, R., & Saraswat, P. (2024). A Hybrid BERT-CNN Approach for Depression Detection on Social Media Using Multimodal Data. The Computer Journal, bxae018. Oxford University Press. [SCI Indexed IF:1.5]
9. Sharma, V., Beniwal, R., & Kumar, V. (2024). Multi-level trust-based secure and optimal IoT-WSN routing for environmental monitoring applications. The Journal of Supercomputing, 1-44. Springer. [SCI Indexed IF:2.7]
10. Sharma, Vishal., Beniwal, R. & Kumar, V. (2023). Towards secure IoT system from a smart city perspective: An optimized algorithm and implementation. Wiley Transactions on Emerging Telecommunications Technologies. Wiley. [SCI Indexed IF:2.5]
11. Kumar, A., Beniwal, R., & Jain, D. (2023). Personality detection using kernel-based ensemble model for leveraging social psychology in online networks. ACM Transactions on Asian and Low-Resource Language Information Processing, 22(5), 1-20. ACM. [SCI Indexed IF:2]
12. Bhatia, M. P. S., Kumar, A., & Beniwal, R. (2021). An optimized classification of apps reviews for improving requirement engineering. Recent Advances in Computer Science and Communications (Formerly: Recent Patents on Computer Science), 14(5), 1390-1399. Bentham Science. [Scopus Indexed]
13. Bhatia, M. P. S., Kumar, A., Beniwal, R., & Malik, T. (2020). Ontology driven software development for automatic detection and updation of software requirement specifications. Journal of Discrete Mathematical Sciences and Cryptography, 23(1), 197-208. Taylor & Francis. [Scopus & ESCI Indexed]

Conference Papers

1. Beniwal, R., Kumar, A., Yadav, A., & Chikara, A. (2025). Enhancing hostility detection: A transformer based approach to hostility detection in Hindi. In Intelligent Computing and Communication Techniques (pp. 101-106). CRC Press. [Scopus Indexed]
2. Bansal, A., & Beniwal, R. (2024, July). Sentiment Classification on Suicide Notes Using GPT, Bi-LSTM and CNN. In 2024 Asia Pacific Conference on Innovation in Technology (APCIT) (pp. 1-5). IEEE. [Scopus Indexed]
3. Beniwal, R., Dinkar, A. K., Kumar, A., & Panchal, A. (2024, July). A Hybrid Deep Learning Model for Sentiment Analysis of IMDB Movies Reviews. In 2024 Asia Pacific Conference on Innovation in Technology (APCIT) (pp. 1-7). IEEE. [Scopus Indexed]
4. Saraswat, P., & Beniwal, R. (2024, July). BERT-based RNN for Effective Detection of Depression with Severity Levels from Text Data. In 2024 IEEE Symposium on Wireless Technology & Applications (ISWTA) (pp. 52-56). IEEE. [Scopus Indexed]
5. Beniwal, R., Sachin, S., Satyam, S., & Kumar, S. (2024, June). Leaf Analysis for Disease Identification using Transfer learning. In 2024 International Conference on Circuit, Systems and Communication (ICCSC) (pp. 1-6). IEEE. [Scopus Indexed]
6. Beniwal, R., & Dobhal, A. (2024). Sentiment Classification on Suicide Notes Using Bi-LSTM Model. Proceedings of Data Analytics and Management: ICDAM 2023, Volume 2, 786, 1. Springer. [Scopus Indexed]
7. Beniwal, R., Dubey, S., Gupta, S., & Gakhar, S. (2023, December). Early Diabetic Retinopathy Detection using Data Augmentation Techniques and DenseNet-121. In 2023 5th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) (pp. 739-742). IEEE. [Scopus Indexed]
8. Beniwal, R., Kumar, N., & Rathore, N. (2023, December). Digital Fencing–A Solution to Animal-Human Conflict. In 2023 5th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) (pp. 749-756). IEEE. [Scopus Indexed]
9. Beniwal, R., Batra, S., Gupta, S., & Shekhar, S. (2023, June). Hindi Hit Songs Prediction Using Machine Learning Algorithms. In 2023 3rd International Conference on Intelligent Technologies (CONIT) (pp. 1-5). IEEE. [Scopus Indexed]
10. Beniwal, R., Jha, S., Mehta, S., & Dhiman, R. (2023, June). Cyberbullying Detection using Deep Learning Models in Bengali Language. In 2023 3rd International Conference on Intelligent Technologies (CONIT) (pp. 1-5). IEEE. [Scopus Indexed]
11. Jaiswal, P., Kakkar, R., & Beniwal, R. (2023, May). Abenet: An emotion recognition for Bengali language. In 2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) (pp. 87-91). IEEE. [Scopus Indexed]
12. Jain, D., Beniwal, R., & Kumar, A. (2023, March). ByaktitbaNet: Deep Neural Network for Personality Detection in Bengali Conversational Data. In Doctoral Symposium on Computational Intelligence (pp. 703-713). Springer. [Best Paper Awarded] [Scopus Indexed]
13. Beniwal, R., Vaishy, A., & Dhama, G. K. (2023, February). COVID Detection Using Chest X-ray Images Using Ensembled Deep Learning. In Intelligent Data Engineering and Analytics: Proceedings of the 10th International Conference on Frontiers in Intelligent Computing: Theory and Applications (FICTA 2022) (pp. 543-553). Springer.  [Scopus Indexed]
14. Agarwal, A., Ankit, A., Meena, D. K., & Beniwal, R. (2022, December). Comparative Study on Pairs Trading Using Machine Learning Algorithms. In 2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) (pp. 242-248). IEEE. [Scopus Indexed]
15. Jain, D., Kumar, A., & Beniwal, R. (2022, July). Personality BERT: A Transformer-Based Model for Personality Detection from Textual Data. In Proceedings of International Conference on Computing and Communication Networks (pp. 515-522). Springer. [Scopus Indexed]
16. Beniwal, R., Abhijeet, K., Kumar, K., & Sagar, M. (2022). Ontology Driven Software Development for Better Understanding and Maintenance of Software System. In Second International Conference on Sustainable Technologies for Computational Intelligence (pp. 73-81). Springer.
17. Beniwal, R., Nag, B., Saraswat, A., & Gulati, P. (2022). Static Hand Sign Recognition Using Wavelet Transform and Convolutional Neural Network. In Second International Conference on Sustainable Technologies for Computational Intelligence (pp. 151-162). Springer.
18. Beniwal, R., Bhardwaj, D., Raghav, B. P., & Negi, D. (2022). Text Similarity Identification Based on CNN and CNN-LSTM Model. In Second International Conference on Sustainable Technologies for Computational Intelligence (pp. 47-58). Springer.
19. Beniwal, R., Khairwal, R., Mahajan, R., & Singh, S. P. N. (2021, August). A Comparison of Similarity Measures for Neighbourhood Based Collaborative Filtering Recommender Systems. In 2021 Asian Conference on Innovation in Technology (ASIANCON) (pp. 1-6). IEEE. [Scopus Indexed]
20. Beniwal, R., Jain, M., & Gupta, Y. (2021). Opinion Mining to Aid User Acceptance Testing for Open Beta Versions. In Proceedings of International Conference on Artificial Intelligence and Applications (pp. 291-301). Springer. [Scopus Indexed]
21. Beniwal, R., Danish, M., & Goel, A. (2019, December). A Smart Discussion Forum Website. In International Conference on Soft Computing and Pattern Recognition (pp. 41-49). Springer. [Scopus Indexed]

Book Chapters

1. Beniwal, R., & Singh, A. (2022). Real-Time Object Detection and Distance Approximation. In Proceedings of Data Analytics and Management (pp. 49-60). Springer. [Scopus Indexed]
2. Beniwal, R., & Maurya, A. (2021). Toxic Comment Classification Using Hybrid Deep Learning Model. In Sustainable Communication Networks and Application (pp. 461-473). Springer. [Scopus Indexed]
3. Beniwal, R., Debnath, K., Jha, D., & Singh, M. (2021). Hybrid Recommender System Using Artificial Bee Colony Based on Graph Database. In Data Analytics and Management (pp. 687-699). Springer. [Scopus Indexed]
4. Beniwal, R., Dahiya, S., Kumar, D., Yadav, D., & Pal, D. (2021). NPMREC: NPM Packages and Similar Projects Recommendation System. In Data Analytics and Management (pp. 701-710). Springer. [Scopus Indexed]
5. Beniwal, R., Patidar, S., Tomar, R., & Khatta, R. (2021). Comparative Study of Cooling Solutions of a Drone Based on Raspberry Pi Deducing the Most Efficient Cooling Method. In Computer Networks and Inventive Communication Technologies (pp. 269-281). Springer. [Scopus Indexed]

• Granted Design Patent on “Device to Analyze the Impact of Nutritional Status on Cognitive Development of Child” on 15^th July 2024 (From the Patent Office, Govt. of India)

 

Ph.D. Supervision Details:

Name	Roll No.	Title	Admission Date	Mode (FT/ PT)	Fellowship (DTU/ UGC)	Degree Award Date
Dipika Jain	2k20/PHDCO/505	Deep Learning Models for Automatic Personality Detection in User-generated content	12/01/21	Full Time	DTU	23/08/24
Vishal Sharma	2K20/PHDCO/506	Design and Development of Secure Routing Techniques for IoT based Networks	11/01/21	Part Time	NA	30/06/25
Pavi Saraswat	2K21/PHDCO/05	Depression Detection Using Deep Learning Models Based on Multimodal Social Media Content	01/08/21	Full Time	DTU	07/11/25
Nitesh Kumar	2K20/PHDCO/12	Energy Efficient Multi-QoS Centric Routing Algorithms in IoT-based Software Defined Wireless Sensor Network	26/08/20	Part Time	NA	05/12/25

 

M.Tech Supervision Details:

Name	Roll No.	Title	Degree Award  Month/ Year
Divyansh Gupta	2K23/CSE/06	Cyberbullying Detection in Bengali Language using Transfer Learning	May 2025
Mayank Pathak	2K23/AFI/30	Credit Card Fraud Detection using Machine Learning Techniques	May 2025
Armaan Agrawal	2K23/AFI/04	Sentiment Classification on Suicide Notes using BERT, Bi-LSTM, and Multi-head Attention	May 2025
Akash Bansal	2K22/AFI/02	Sentiment Classification on Suicide Notes Using Deep Learning	May 2024
Gautam Kumar Jha	2K22/AFI/08	Large Language Model and Their impact on Sentiment Analysis	May 2024
Abhishek Dobhal	2K21/AFI/1	Sentiment Analysis in Suicide Notes Using Bi LSTM Model	May 2023
Madhav Kumar	2K21/AFI/17	Sentiment Analysis in Multiparty Conversations	May 2023
Ashish Singh	2K19/CSE/04	Real Time Object Detection and Distance Approximation	May 2021
Archana Maurya	2K18/CSE/02	Toxic Comment Classification using Hybrid Deep Learning	May 2020
Mohd. Danish	2K17/CSE/09	A Smart Discussion Forum Platform	May 2019

 

Conference – Session Chair

• Session Chair in The Gobal AI Summit 2025, International Conference on Artificial Intelligence and Emerging Technology 2.0, held during 19^th – 21st November, 2025 at Bennet University, Greater Noida, Uttar Pradesh, India.
• Session Chair in International Conference on Cloud Computing, Data Science and Engineering (Confluence 2023) held during 19^th – 20^th January, 2023 at Amity University, Noida, Uttar Pradesh, India.
• Session Chair in International Conference on Cloud Computing, Data Science and Engineering (Confluence 2022) held during 27^th – 28^th January, 2022 at Amity University, Noida, Uttar Pradesh, India.
• Session Chair in International Conference on Computational Intelligence in Analytics and Information Systems (CIAIS 2021) held during 2^nd – 3^rd April, 2021 at Manav Rachna University, Faridabad, Haryana, India.
• Session Chair in International Conference on Machine Learning, Big Data, Cloud and Parallel Computing: Trends, Perspective, and Prospects (COMITCon 2019) held during 14^th - 16^th February, 2019 at Manav Rachna International Institute of Research and Studies, Faridabad, Haryana, India.

 

Certification

• IBM Certified Database Associate (DB2 9)
• Innovation Readiness Series (University of Texas, USA & FICCCI, India)

 

Notice

A bright student with good academic and research record can send their CV to pursue Ph.D. [dr.rohitbeniwal@gmail.com]