PROFILE

Google h-index: 35

Google Scholar Citations: 5000+

Internationally selected and represented India

  • Invited by AirLangga University as a Speaker in Surabaya, Indonesia in October 2025 (Represented India).  
  • Awarded Best Paper (SETAU-NET: Sobel Enhancement with Transformer Attention U-Net for Underwater Image Enhancement) presented at the 6th Springer International Conference on Data Analytics and Management (ICDAM-2025) organized jointly by London Metropolitan University, London, United Kingdom in association with the WSG University, Bydgoszcz, Poland; Portalegre Polytechnic University, Portugal & SGGW Management Institute, Poland, Europe during 13 - 15 June 2025 (London Metropolitan University, UK).
  • Selected as an Entrepreneurship Ambassador under the IEEE Region 10 Adhoc Committee on Entrepreneurship and Innovation (ACEI) (May 10, 2025) (Represented India).
  • Invited Expert Speaker in 2nd Multi-Disciplinary International Conference on Greece and India, Aristotlle University of Thessaloniki, Greece, December-2024 (Represented India).
  • Awarded Best Paper (LSTVision: A Multi-Modal Framework for Autism Spectrum Diagnosis Utilizing LSTM and Vision Transformer) in IEEE 5th International Conference on Smart Sensors And Appliation (ICSSA 2024), 10-12 Sept 2024 at Penang, Malaysia.
  • Invited by Bulgaria Govt. as Keynote Speaker for (Artificial Intelligence in Healthcare) in AMEE- June 2024 (Represented India).
  • Invited by United Kingdom Govt. (UK) as a Speaker and Artificial Intelligence Panellist- March 2024 (Represented India).
  • BRICS Young Scientist 2020-Russia (Represented India).
  • Young Researcher Scientist Sakura Science Exchange Program 2020- Japan (Represented India).
  • UNESCO Global Action Programme 2019- Dunedin, New Zealand (Represented India).
  • Elected as a Member of the Asia-Pacific Artificial Intelligence Association (AAIA).
  • World’s top 2% scientist in 2020- Stanford University, USA
  • World’s top 2% scientist in 2021- Stanford University, USA
  • World’s top 2% scientist in 2022- Stanford University, USA
  • World’s top 2% scientist in 2023- Stanford University, USA
  • World’s top 2% scientist in 2024- Stanford University, USA
  • World’s top 2% scientist in 2025- Stanford University, USA

 

PREVIOUS POSITIONS/ EXPERIENCE

  • Professor in Department of Computer Science and Engineering, Delhi Technological University.
  • CSE Department Research Committee (DRC) Chairperson
  • Associate Dean, International Affairs 
  • Officer-In-Charge, International Partnership & Visitation, Office of International Affairs 
  • Coordinator, (International Partnership & Visitation, IT and Database), Office of International Affairs

TEACHING (COURSES TAUGHT)

  • Big Data Analytics
  • Data Warehousing and Data Mining
  • Advances in Multimedia Technologies
  • Intellectual Property Rights
  • Advances in Web Technology
  • Web Technology
  • Object Oriented Software Engineering
  • Software Engineering

MEMBERSHIPS

  • Professional Senior Member of Institute of Electrical and Electronics Engineers (IEEE) Society.
  • Association for Computing Machinery (ACM).
  • Professional Individual Life Member of Computer Society of India (CSI)
  • Professional Member of the International Association of Computer Science and Information Technology (IACSIT). 

PUBLICATIONS

SCI/SCIE Indexed International Journals:

1.              Vinay Dubey, Rahul Katarya, “CGD-FloodNet: A Robust Hybrid Model for Flood Probability Estimation Using Environmental Parameters” Water Resources Management (Impact Factor: 5.7, Publisher: Springer) (Accepted on June 18, 2026).

2.              Vinay Dubey, Rahul Katarya, “Optimizing Surveillance Efficiency with Deep Learning-Driven Flood Segmentation” Natural Hazards (Impact Factor: 3.7, Publisher: Springer) (Accepted on December 27, 2025).

3.              Himanshu Nandanwar, Rahul Katarya, “Alpha-Net: A Dependable and Trustworthy Deep Learning Framework for Securing Industrial Internet of Things Networks Against Botnet Attacks” Computers and Electrical Engineering (Impact Factor: 4.9, Publisher: Elsevier) (Accepted on December 19, 2025).

4.              Himanshu Nandanwar, Rahul Katarya, “Secure and Privacy-Preserving Data Sharing in 6G-Enabled Blockchain IoT Healthcare Systems” Security And Privacy (Impact Factor: 2.1, Publisher: Wiley) (Accepted on September 10, 2025).

5.              Badal Gami, Manav Agrawal, Rahul Katarya,  “Emerging Trends in Early Dementia Diagnosis: An Analysis on Advanced Machine Learning Approaches”, ACM Computing Surveys (Impact Factor: 28.0, Publisher: ACM) (Accepted on July 29, 2025).

6.              Saksham Checker, Madhuri Yadav, Rahul Katarya, “HiEnWrite: A Hindi-English Bilingual Dataset for Big Five Personality Detection” ACM Transactions on Asian and Low-Resource Language Information Processing , https://doi.org/10.1145/3756010 (Impact Factor: 2.0, Publisher: ACM) (Accepted on July 17, 2025).

7.              Himanshu Nandanwar, Rahul Katarya, “Optimized intrusion detection and secure data management in IoT networks using GAO-Xgboost and ECC-integrated blockchain framework”, Knowledge and Information Systems (Impact Factor: 3.1, Publisher: Springer) (Accepted on June 5, 2025).

8.              Vinay Dubey, Rahul Katarya, “MoSWIN: Monkey Search Optimization and SWIN-based Flood Classification Architecture” Water Resources Management, (Impact Factor: 3.9, Publisher: Springer) (Accepted on May 15, 2025).

9.              Vinay Dubey, Rahul Katarya, “Flood-FireNet: A Novel Flood Image Classification Architecture Using the Adaptive Firefly Algorithm” Signal, Image and Video Processing, (Impact Factor: 2.0, Publisher: Springer) (Accepted on April 25, 2025).

10.           Vinay Dubey, Rahul Katarya, “FloodCNN-BiLSTM: Predicting Flood Events in Urban Environments”, Engineering Analysis with Boundary Elements (Impact Factor: 4.2, Publisher: Elsevier) (Accepted on April 16, 2025).

11.           Himanshu Nandanwar, Rahul Katarya, “Privacy-Preserving Data Sharing in Blockchain-Enabled IoT Healthcare Management System”, The Computer Journal, Oxford University Press, (Impact Factor: 1.5, Publisher: Oxford Academic) (Accepted on March 6, 2025).

12.           Himanshu Nandanwar, Rahul Katarya, “Securing Industry 5.0: An Explainable Deep Learning Model for Intrusion Detection in Cyber-Physical Systems”, Computers and Electrical Engineering (Impact Factor: 4.0, Publisher: Elsevier) (Accepted on February 4, 2025).

13.           Himanshu Nandanwar, Rahul Katarya, “A Hybrid Blockchain-Based Framework for Securing Intrusion Detection Systems in Internet of Things”, Cluster Computing, (Impact Factor: 3.6, Publisher: Springer) (Accepted on January 15, 2025)

14.           Pranav, Rahul Katarya, “Effi-CNN: Real-Time Vision-based System for Interpretation of Sign Language using CNN and Transfer Learning” Multimedia Tools and Applications, (Impact Factor: 3.0, Publisher: Springer) (Accepted on December 27, 2024)

15.           Kainat Khan, Rahul Katarya, “MCBERT: A Multi-Modal Framework for the Diagnosis of Autism Spectrum Disorder”, Biological Psychology (Impact Factor: 2.8, Publisher: Elsevier) (Accepted on December 17, 2024).

16.           Kainat Khan, Rahul Katarya, “WS-BiTM: Integrating White Shark Optimization with Bi-LSTM for Enhanced Autism Spectrum Disorder Diagnosis” Journal of Neuroscience Methods

(Impact Factor: 2.7, Publisher: Elsevier) (Accepted on November 3, 2024).

17.           Kainat Khan, Rahul Katarya, “AFF-BPL: An Adaptive Feature Fusion Technique for the Diagnosis of Autism Spectrum Disorder using Bat-PSO-LSTM based Framework” Journal of Computational Science, (Impact Factor: 3.1, Publisher: Elsevier) (Accepted on September 16, 2024).

18.           Madhuri Yadav, Rahul Katarya, “Stacked Denoising Variational Auto Encoder Model for Extractive Web Text Summarization”, Iranian Journal of Science and Technology, Transactions of Electrical Engineering (Impact Factor: 1.5, Publisher: Springer) (Accepted on August 28, 2024).

19.           Vinay Dubey, Rahul Katarya, “SSR-GAN: Super Resolution-based Generative adversarial networks Model for Flood Image Enhancement” , Signal, Image and Video Processing, (Impact Factor: 2.3, Publisher: Springer) (Accepted on May 5, 2024).

20.           Himanshu Nandanwar, Rahul Katarya, “Deep Learning Enabled Intrusion Detection System for Industrial IoT Environment”, Expert Systems with Applications, (Impact Factor: 8.665, Publisher: Elsevier) (Accepted on March 20, 2024).

21.           Rahul, Rahul Katarya, “A systematic Review on Predicting the Performance of Students in Higher Education in Offline Mode Using Machine Learning Techniques” Wireless Personal Communications, (Impact Factor: 2.2, Publisher: Springer)(Accepted on December 21, 2023).

22.           Himanshu Nandanwar, Rahul Katarya, “TL-BILSTM IoT: Transfer Learning Model For Prediction Of Intrusion Detection System in IoT Environment”, International Journal of Information Security, (Impact Factor: 3.2, Publisher: Springer) (Accepted on November 9, 2023).

23.           Garima Gupta, Rahul Katarya, “A Computational Approach Towards Food-Wine Recommendations”, Expert Systems with Applications, (Impact Factor: 8.665, Publisher: Elsevier) (Accepted on September 20, 2023).

24.           Anjum, Rahul Katarya, “Hate speech, Toxicity detection in online social media: A recent survey of state-of-the-art, and opportunities”, International Journal of Information Security, (Impact Factor: 3.2, Publisher: Springer) (Accepted on August 31, 2023).

25.           Anjum, Rahul Katarya, "HateDetector: Multilingual Technique for the Analysis and Detection of Online Hate Speech in Social Networks", Multimedia Tools and Applications, (Impact Factor: 3.6, Publisher: Springer) (Accepted on August 21, 2023).

26.           Aakansha Gupta, Rahul Katarya, “A Deep-SIQRV Epidemic Model for COVID-19 to Access the Impact of Prevention and Control Measures”, Computational Biology and Chemistry, (Impact Factor: 3.1, Publisher: Elsevier) (Accepted on August 14, 2023).

27.           Lokesh Jain, Rahul Katarya, Shelly Sachdeva, “Opinion Leaders for information diffusion using Graph Neural Network in Online Social Networks”, ACM Transactions on the Web (TWEB), (Impact Factor: 4.24, Publisher: ACM) (Accepted on December 5, 2022).

28.           Rahul, Rahul Katarya, “Deep Auto Encoder based on a Transient Search Capsule Network for Student Performance Prediction” Multimedia Tools and Applications, (Impact Factor: 3.6, Publisher: Springer) (Accepted on October 22, 2022).

29.           Ravish, Rahul Katarya, Deepak Dahiya, Saksham Checker “Fake News Detection System Using Featured-Based Optimized MSVM Classification”, IEEE Access. (Impact Factor: 3.476, Publisher: IEEE) (Accepted on October 21, 2022).

30.           Rahul Katarya, “Towards the Significance of Taxi Recommender Systems in Smart Cities” Concurrency and Computation: Practice and Experience”, (Impact Factor: 1.831, Publisher: Wiley) (Accepted on October 6, 2022).

31.           Garima Gupta, Rahul Katarya, “A Novel Approach To Alleviate Data Sparsity And Generate Dynamic Fruit Recommendations From Point-Of-Sale Data, Concurrency and Computation: Practice and Experience”, (Impact Factor: 1.831, Publisher: Wiley) (Accepted on August 19, 2022).

32.           Utkarsh Agrawal, Vasudha Rohatgi, Rahul Katarya, “Normalized mutual information-based equilibrium optimizer with chaotic maps for
wrapper-filter feature selection” Expert Systems with Applications, (Impact Factor: 8.665, Publisher: Elsevier) (Accepted on July 7, 2022).

33.           Aakansha Gupta, Rahul Katarya, “Possibility of the COVID-19 Third Wave in India: Mapping from Second Wave to Third Wave”, Indian Journal of Physics, (Impact Factor: 1.947, Publisher: Springer) (Accepted on June 21, 2022).

34.           Tashvik Dhamija, Anunay Gupta, Shreyansh Gupta, Anjum, Rahul Katarya and Ghanshyam Singh, “Semantic Segmentation in Medical Images Through Transfused Convolution and Transformer Networks”, Applied Intelligence, (Impact Factor: 5.086, Publisher: Springer) (Accepted on April 15, 2022).

35.           Herkulaas Combrink, Nerina Chrisna van der Merwe, Rahul Katarya, Katinka de Wet, Ming-Han Motloung, “A South African Indian Population Group Dataset for Breast Cancer and BRCA1/2 Variants”, Data in Brief, (Impact Factor: 1.13, Publisher: Elsevier) (Accepted on April 08, 2022).

36.           Aakansha Gupta, Rahul Katarya, “Deep Embedding for Mental Health Content on Social Media using Vector Space Model with Feature Clusters”, Concurrency and Computation: Practice and Experience, (Impact Factor: 1.831, Publisher: Wiley) (Accepted on January 28, 2022).

37.           Polipireddy Srinivas, Rahul Katarya, “hyOPTXg: OPTUNA hyper-parameter optimization framework for predicting cardiovascular disease using XGBoost”, Biomedical Signal Processing and Control, (Impact Factor: 3.880, Publisher: Elsevier) (Accepted on December 16, 2021).

38.           Aakansha Gupta, Rahul Katarya, “PAN-LDA: A Latent Dirichlet Allocation based Novel Feature Extraction Model for COVID-19 Data using Machine Learning”, Computers in Biology and Medicine, Elsevier, Volume 138, November 2021, 104920, 

doi: https://doi.org/10.1016/j.compbiomed.2021.104920, (Impact Factor: 4.589, Publisher: Elsevier).

39.           Rahul Katarya, Rajat Saini “Enhancing the Wine Tasting experience using Greedy Clustering Wine Recommender System” Multimedia Tools and Applications, (Accepted in July 2021) (Impact Factor: 2.517, Publisher: Springer).

40.           Garima Gupta, Rahul Katarya “EnPSO: An AutoML Technique For Generating Ensemble Recommender System” Arabian Journal for Science and Engineering, Springer, 2021, Volume 46, 8677-8695 doi: https://doi.org/10.1007/s13369-021-05670-z   (Impact Factor: 2.334, Publisher: Springer)

41.                       Priyansh Kedia, Anjum, Rahul Katarya “CoVNet-19: A Deep Learning Model for the Detection and Analysis of COVID-19 Patients”Applied Soft Computing, Volume 104, 107184, June 2021, doi: https://doi.org/10.1016/j.asoc.2021.107184 (Impact Factor: 6.725, Publisher: Elsevier) 

42.           Garima Gupta, Rahul Katarya “Research on Understanding the Effect of Deep Learning on User Preferences” Arabian Journal for Science and Engineering, Springer, 2021, Volume 46, 3247-3286, doi: https://doi.org/10.1007/s13369-020-05112-2 (Impact Factor: 2.334, Publisher: Springer)

43.           Anunay Gupta, Anjum, Shreyansh Gupta, Rahul Katarya, “InstaCovNet-19: A Deep Learning Classification Model for the Detection of COVID-19 Patients Using Chest X-Ray”, Volume 99, February 2021, 106859, Applied Soft Computing, (Impact Factor: 6.725, Publisher: Elsevier)

44.           Rahul Katarya, Sunit Kumar, “Machine Learning Techniques for Heart Disease Prediction: A Comparative Study and Analysis”, Health and Technology, Emerging Sources Citation Index (Publisher: Springer), Online Published: November 2020.

45.           Aakansha Gupta, Rahul Katarya, “Social Media based Surveillance Systems for Healthcare using Machine Learning: A Systematic Review” Journal of Biomedical Informatics, Volume 108, August 2020, 103500 (Impact Factor: 3.526, Publisher:Elsevier) https://doi.org/10.1016/j.jbi.2020.103500

46.           Lokesh Jain, Rahul Katarya, Shelly Sachdeva “Recognition of opinion leaders coalitions in online social network using game theory” Knowledge-Based Systems, Volume 203, 5 September 2020, 106158 (Impact Factor: 5.921, Publisher: Elsevier) https://doi.org/10.1016/j.knosys.2020.106158 

47.           Rahul Katarya, Yamini Arora “CapsMF: A novel Product Recommender System using Deep Learning Based Text Analysis model" Multimedia Tools and Applications,79(47), 35927-35948 , 2020 (Impact Factor: 2.313, Publisher: Springer) https://doi.org/10.1007/s11042-020-09199-5

48.           Lokesh Jain, Rahul Katarya, Shelly Sachdeva, “Opinion Leader detection using Whale Optimization Algorithm in Online Social Network” Expert Systems with Applications, (Impact Factor: 5.452, Publisher: Elsevier), Volume 142, 15 March 2020, 113016,  https://doi.org/10.1016/j.eswa.2019.113016

49.           Lokesh Jain, Rahul Katarya “Discover opinion leader in social network using firefly algorithm”, Expert Systems with Applications, Volume 122, Page 1-15, May 2019, (Impact Factor: 5.452, Publisher: Elsevier). https://doi.org/10.1016/j.eswa.2018.12.043

50.           Rahul Katarya “Movie recommender system with metaheuristic artificial bee” Neural Computing and Applications, September 2018, Volume 30, Issue 6, pp 1983–1990, https://doi.org/10.1007/s00521-017-3338-4 (Impact Factor: 4.774, Publisher: Springer).

51.           Rahul Katarya, Om Prakash Verma, “Recommender system with grey wolf optimizer and FCM” Neural Computing and Applications, September 2018, Volume 30, Issue 5, pp 1679–1687, doi:10.1007/s00521-016-2817-3 (Impact Factor: 4.774, Publisher: Springer).

52.            Rahul Katarya, Om Prakash Verma “Effectual recommendations using artificial algae algorithm and fuzzy c-mean” in Swarm and Evolutionary Computation, October 2017 (Impact Factor: 6.912, Publisher: Elsevier). https://doi.org/10.1016/j.swevo.2017.04.004

53.           Rahul Katarya, Om Prakash Verma “An effective web page recommender system with fuzzy c-mean clustering” Multimedia Tools and Applications, October 2017, doi: 10.1007/s11042-016-4078-7 (Impact Factor: 2.313, Publisher: Springer).

54.           Rahul Katarya, Om Prakash Verma “An effective collaborative movie recommender system with cuckoo search” Egyptian Informatics Journal, October 2017, doi: 10.1016/j.eij.2016.10.002 (Impact Factor: 3.119, Publisher: Elsevier).

55.            Rahul Katarya, Om Prakash Verma “Efficient music recommender system using context graph and particle swarm” Multimedia Tools and Applications, Volume 77, Issue 2, pp 2673–2687, January 2018, DOI: https://doi.org/10.1007/s11042-017-4447-x (Impact Factor: 2.313, Publisher: Springer).

56.           Rahul Katarya, Om Prakash Verma “Recent developments in affective recommender systems.” Physica A: Statistical Mechanics its Applications, May 2016, 461:182–90. doi:10.1016/j.physa.2016.05.046 (Impact Factor: 2.924, Publisher: Elsevier). 

57.           Rahul Katarya, Om Prakash Verma “A collaborative recommender system enhanced with particle swarm optimization technique” Multimedia Tools and Applications 1–15, March 2016, doi: 10.1007/s11042-016-3481-4 (Impact Factor: 2.313, Publisher: Springer).

 

BOOKS/BOOK CHAPTERS (IF ANY)

PATENTS (IF ANY)

  1. “Precision Agriculture Rover For Plant Disease Detection And Control” (Patent No: 529534, Application Number: 202211032321, Date of Grant: 21/03/2024), The Patent Office, Government of India.
  2. “An Autonomously Operating Surface Water Robot And Method Thereof” (Patent No: 556819, Application Number: 202211016054, Date of Grant: 24/12/2024), The Patent Office, Government of India.

HONOURS AND AWARDS (IF ANY)

  • Selected as an Entrepreneurship Ambassador under the IEEE Region 10 Adhoc Committee on Entrepreneurship and Innovation (ACEI) (May 10, 2025) (Represented India).
  • BRICS Young Scientist 2020-Russia (Represented India).
  • Young Researcher Scientist Sakura Science Exchange Program 2020- Japan (Represented India).
  • UNESCO Global Action Programme 2019- Dunedin, New Zealand (Represented India).
  • Elected as a Member of the Asia-Pacific Artificial Intelligence Association (AAIA).
     

SPONSORED/CONSULTANCY PROJECTS

  • As a Principal Investigator from DTU, Project Title: “Nodal HPC Center at DTU, Delhi under National Supercomputing Mission (NSM)” sponsored by CDAC under Ministry of Electronics and Information TechnologY, Government of India (Approved in May 2025) Funding of 27.5 Lakhs.
  • Funding of 3,00,000 (Three Lacs only) approved from CDAC Pune for organizing One Week Short Term Training Course on “Introduction to HPC and its Application in AI” in the Department of Computer Science & Engineering, Delhi Technological University from August 7-11, 2023 under the National Supercomputing Mission (NSM) Govt. of India. 
  •  Completed DST Project: As a Principal Investigator received a Project grant of amount Rs 12,51,000/- from the Ministry of Science & Technology, Department of Science & Technology, National Council for Science & Technology Communication Division (NCSTC, programme on health and risk communication) Government of India, Technology Bhavan New Delhi 110016 for project Titled “TRIP AID - Travel Risk Information in a Pandemic using Artificial Intelligence Development” on January 8, 2021.  Start Date: 08/01/2021-- Completion Date: 11/10/2022

START-UPS (IF ANY)

MOOC COURSES DEVELOPED (IF ANY)

PROFESSIONAL DEVELOPMENT

  Nodal Officer for MoU/MOA:

https://www.shiksha.com/news/engineering-dtu-signs-mou-with-sau-to-advance-joint-efforts-in-r-d-sustainability-and-education-blogId-197132#:~:text=Sustainability%2C%20and%20Education-,DTU%20Signs%20MoU%20with%20SAU%20to%20Advance,in%20R%26D%2C%20Sustainability%2C%20and%20Education&text=Delhi%20Technological%20University%20(DTU)%20and,%2C%20sustainability%2C%20and%20digital%20innovation.

  • The MoA was signed between DTU and CDAC on July 31, 2024, to establish High-Performance Computing and Artifical Intelligence Nodal Center in DTU. Prof. Rahul Katarya was nominated as the Nodal Contact from DTU from C-DAC. The ceremony was graced by Prof. Prateek Sharma,Vice Chancellor, Delhi Technological University (DTU), Mr. Naveen Kumar, Scientist E, MeitY Govt. of India, Col. Asheet Nath, CDAC Pune, Mr. Ashish Kuvelkar, Scientist G, as the Nodal Contact from CDAC Pune.

https://www.shiksha.com/news/engineering-dtu-partners-with-cdac-to-establish-high-performance-computing-and-ai-nodal-center-blogId-173851 

ADVISEES

S.No.

Name

Title/Area

Roll Number

Research Status

1.               

Dr. Lokesh Jain

Study on Opinion Leader in Online Social Network using Computational Intelligence

2K17/PHD/CSE/10

Ph.D. Degree Awarded on October 8, 2021 (Joint Supervision)

2.               

Dr. Aakansha Gupta

Designing an Efficient Public Health Surveillance System using Machine Learning

2K18/PHD/CO/10

Ph.D. Thesis Awarded on July 25, 2022.

3.               

Dr. Garima Gupta

Towards Efficient Recommender Systems using Computational Intelligence

2K17/PHD/CO/05

Ph.D. Thesis Awarded on July 29, 2022.

4.               

Dr. Anjum

Detection and Analysis of Online Hate Speech using Artificial Intelligence

2K18/PHD/CO/503

Ph.D. Thesis Awarded on August 14, 2024.

5.               

Dr. Rahul

Study and Analysis of Students Academic Performance using Artificial Intelligence.

2K18/PHD/CO/19

Ph.D. Thesis Awarded on August 14, 2024.

6.               

Dr. Kainat Khan

Development of Artificial Intelligence based Autism Spectrum Disorder Detection Framework

2K21/PHDCO/501

Ph.D. Thesis Awarded on April 28, 2025.

7.               

Dr. Himanshu Nandanwar

Development of Intrusion Detection System in IoT using Artificial Intelligence and Blockchain Technology

2k22/PhD/CSE/03

Ph.D. Thesis Awarded on August 08, 2025.

8.               

Dr. Vinay Dubey

Prediction and Detection of Flood using

Artificial Intelligence

2K18/PHD/CO/04

Ph.D. Thesis Awarded on October 24, 2025.

9.               

Madhuri Yadav

Web Text Summarization using Machine Learning

2K18/PHD/CO/11

In Progress/ SRC completed on 13/10/2021

10.            

Gull Kaur

Development of Artifical Intelligence-Based Multimodal Approach for Empowering Educational Multimedia 

2K18/PHD/CO/07

In Progress, SRC completed on 28/11/2024

11.            

Keshaw Kumar

Artifical Intelligence & Cyber Security

24/PHDCO/05

In Progress (Joint)

12.            

Monika 

Artifical Intelligence in Health

24/PHDCO/504

In Progress(Joint)

13.            

Prachi

Spatio-Temporal Analysis of Yamuna River Water Quality and its Floodplains

23/PHDMCG/502

In Progress, SRC completed on 10/09/2025( Joint)

14.            

Vivek Gupta

Artifical Intelligence

25/PHDCO/13

In Progress(Joint)
15.  Sankulp Khera Artifical Intelligence 25/PHDCO/508 In Progress

 

  • Post Gradute: 36 M.Tech. Supervised 
  • Under Graduate: 100+ B.Tech Project Supervised

ANY OTHER INFORMATION