Scopus ID: 57271939500

ORCID ID: 0000-0003-2660-7540

Web of Science Researcher ID: JVD-7001-2023 

Google Scholar Link: https://scholar.google.com/citations?user=5e7OAc0AAAAJ&hl=en 

Anurag Goel has completed his Ph.D. in Computer Science and Engineering from IIIT Delhi, India, in 2023. His Ph.D. thesis title is Deep Clustering. He has completed his M.Tech. (Gold Medalist) in Computer Science and Engineering from IIIT Delhi, India, in 2017. Currently, he is working as an Assistant Professor in the Department of Computer Science and Engineering, Delhi Technological University, Delhi, India since December 2020. Before joining Delhi Technological University, he has served as an Assistant Professor in the Department of CSE & IT, Jaypee Institute of Information Technology, Noida for more than two years. He has also worked as System Engineer in Tata Consultancy Services Noida for almost three years.

He has several publications in reputed journals and conferences including Information Sciences, Genome Research, Geoscience and Remote Sensing Letters, ICONIP, EUSIPCO, ICIP etc. He has served as reviewer in several top-ranked journals and conferences including Transactions on Neural Networks and Learning Systems, Neurocomputing, IEEE Open Journal of Signal Processing, IEEE Sensors Letters, IEEE Geoscience and Remote Sensing Letters, Journal of Information Security and Applications, Journal of Electronic Imaging, EUSIPCO, ICASSP, ICIP and many more. His research interests include Deep Learning, Computer Vision, Graph Algorithms, AI For Social Good, Computational Creativity.

Awards and Recognition

• Best Paper Award, ICSTSN 2023
• Research Excellence Award, 2023, DTU
• Gold Medal for Academic Excellence (M.Tech. 2015-17, IIIT Delhi)
• Teaching Assistant Excellence Award, 2016, IIIT Delhi
• Academic Excellence Award, 2016, IIIT Delhi
• On the Spot Award, 2014, TCS Noida
• Academic Excellence Award, 2011, SRM University 

M.Tech. Students

• Akansha Mittal (M.Tech. AI 2021-23) Thesis Title: Community Detection and its Applications. Currently working as Software Engineer in Microsoft, Noida.
• Rohit Saini  (M.Tech. AI 2022-24): Thesis Title: Applications of Graph Neural Networks in Outlier Detection.
• Shikhar Asthana (M.Tech. AI 2022-24): Thesis Title: Anomaly Detection using Generative Adversarial Networks.
• Satyendra Kumar (M.Tech. CSE 2023-25): Ongoing

SCI(E) Publications

• Pooja Gupta, Anurag Goel, Angshul Majumdar, Emilie Chouzenoux and Giovanni Chierchia, "DeConFCluster: Deep Convolutional Transform Learning based Multiview Clustering Fusion Framework", Signal Processing, 2024, https://doi.org/10.1016/j.sigpro.2024.109597 (IF: 3.4).
• Anurag Goel, and Angshul Majumdar, "Sparse subspace clustering incorporated deep convolutional transform learning for hyperspectral band selection", Earth Science Informatics, 2024, https://doi.org/10.1007/s12145-024-01312-8 (IF: 2.8).
• Anurag Goel, and Angshul Majumdar, "Contrastive Deep Convolutional Transform K-Means Clustering", Information Sciences, 661 (2024): 120191, https://doi.org/10.1016/j.ins.2024.120191 (IF: 8.233).
• Sarita Poonia, Anurag Goel, Smriti Chawla, Namrata Bhattacharya, Priyadarshini Rai, Yi Fang Lee, Yoon Sim Yap et al. "Marker-free characterization full-length transcriptomes of single live circulating tumor cell", Genome Research, 33(1), 80-95, 2023, https://www.genome.org/cgi/doi/10.1101/gr.276600.122 (IF: 9.438).
• Anurag Goel, and Angshul Majumdar, "K-Means Embedded Deep Transform Learning for Hyperspectral Band Selection" IEEE Geoscience and Remote Sensing Letters 19 (2022): 1-5, 10.1109/LGRS.2022.3165313 (IF: 5.343).
• Anurag Goel, and Angshul Majumdar, "Sparse Subspace Clustering Friendly Deep Dictionary Learning for Hyperspectral Image Classification", IEEE Geoscience and Remote Sensing Letters 19 (2021): 1-5, 10.1109/LGRS.2021.3112603 (IF: 5.343).

Conference Publications

• Nitik Garg, Piyush K. Vikram, Nidant Rajora and Anurag Goel, "Ensemble Deep Model for Hate Speech Detection", International Conference on Recent Developments in Cyber Security 2023, pp. 179-190), Springer Nature, Singapore.

• Piyush Agrawal, Nishant Singh, Nikunj Bansal, Anurag Goel, "Accurate Disease Detection in Apple Fruit Images using Transfer Learning: A Novel Approach for Agricultural Sustainability", 2023 Second International Conference on Applied Artificial Intelligence and Computing (ICAAIC), Salem, India, 2023, pp. 487-493.

• Sourav Pal, Sourabh Ruhella, Sparsh Sinha, Anurag Goel, "Sign Language to Text Classification using One-Shot Learning," 2023 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS), Erode, India, 2023, pp. 833-837, doi: 10.1109/ICSCDS56580.2023.10104608. 

• Manan Agrawal, Mohd Ayaan Anwar, Nakul Saroha, Anurag Goel, "SupRes: Facial Image Upscaling Using Sparse Denoising Autoencoders", In IEEE 7th International Conference on Computing Methodologies and Communication (ICCMC), pp. 541-546, 2023.

• Akansha Mittal, Anurag Goel, "Community Detection using Unsupervised Learning Approach", In IEEE Third International Conference on Artificial Intelligence and Smart Energy (ICAIS), pp. 946-951, 2023.

• Manas Gupta, Anurag Goel, Kushal Goel, Jatin Kansal, "Medical Image Denoising using Convolutional Autoencoder with Shortcut Connections", In IEEE 5th International Conference on Smart Systems and Inventive Technology (ICSSIT), pp. 1524-1528, 2023.

• Pranjal Srivastaval, Pranav Bhatnagar, Anurag Goel, "Argument Mining using BERT and Self-Attention based Embeddings", In IEEE 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N), pp. 1536-1540, 2022   

• Nishant Singh and Anurag Goel, "Detection of COVID-19 Protocols Violation in Real Time using Deep Learning", In 2022 Fourteenth International Conference on Contemporary Computing (IC3 2022), pp. 440-445, doi: https://doi.org/10.1145/3549206.3549282. 

• Anurag Goel, Angshul Majumdar, Emilie Chouzenoux and Giovanni Chierchia, "Deep Convolutional K-Means Clustering", In IEEE 29th International Conference on Image Processing (ICIP 2022), pp. 211-215. 

• Moulshree, Munira Anjum and Anurag Goel, "Solar Flare Prediction using Machine Learning Algorithms on RHESSI Dataset," In IEEE International Conference on Sustainable Computing and Data Communication Systems (ICSCDS), 2022, pp. 659-664, doi: 10.1109/ICSCDS53736.2022.9760755. 

• A. Bisht, A. Chahar, A. Kabthiyal and A. Goel, "Stock Prediction using Gaussian Process Regression," In IEEE 6th International Conference on Computing Methodologies and Communication (ICCMC), 2022, pp. 693-699, doi: 10.1109/ICCMC53470.2022.9754114. 

• Anurag Goel, and Angshul Majumdar, "Clustering Friendly Dictionary Learning", International Conference on Neural Information Processing ICONIP 2021. Lecture Notes in Computer Science, vol 13108. Springer, Cham. https://doi.org/10.1007/978-3-030-92185-9_45.

• Anurag Goel, and Angshul Majumdar, "Transformed K-means Clustering", In 2021 29th European Signal Processing Conference (EUSIPCO), pp. 1526-1530. IEEE, 2021.

• Apoorva Aggarwal, Isha Gupta, Novesh Garg, Anurag Goel, “Deep Learning Approach to Determine the Impact of Socio Economic Factors on Bitcoin Price Prediction”, In 2019 Twelfth International Conference on Contemporary Computing (IC3) (pp. 1-5). IEEE.

• Mehta, A., Malik, K., Gunturi, V. M., Goel, A., Sethia, P., & Aggarwal, A. (2018, September). Load Balancing in Network Voronoi Diagrams Under Overload Penalties. In International Conference on Database and Expert Systems Applications (DEXA) (pp. 457-475). Springer, Cham.

Professional Memberships

• Member of The Computer Society of India (CSI) with Membership no. 1052220005.
• Member of The Institute of Electrical and Electronics Engineers (IEEE) with Membership No. 98236173.
• Professional Member of Institute for Engineering Research and Publication (IFERP) with Membership Id No. PMIN37682591.

Expert Talks

• Delivered Expert Talk on "Fundamentals of Graph Analytics" in Online Faculty Development Programme on "Graph Analytics and Applications" organised by Institute Industry Linkage Cell, Department of CSE/IT, JIIT Noida from 25th July to 31st July 2022.
• Delivered Expert Talk on "Graph Partitioning" in Online Faculty Development Programme on "Graph Analytics and Applications" organised by Institute Industry Linkage Cell, Department of CSE/IT, JIIT Noida from 25th July to 31st July 2022.

Professional Activities

• Session Chair, International Conference on Intelligent Computing and Communication Techniques (ICICCT-2024), 28-29 June 2024, Jawaharlal Nehru University, New Delhi.

Academic Responsibilities

• Coordinator, Human Resource Development Centre (HRDC), DTU.
• Member, Timetable Committee, CSE Department, DTU.
• Deputy Coordinator, Innovation Ambassador, Institute's Innovation Council (IIC), DTU.
• Deputy Coordinator, Internal Quality Assurance Cell (IQAC), DTU.
• Deputy Coordinator, M.Tech by Research Admissions, CSE Dept. DTU (2024-25).
• Deputy Coordinator, M.Tech Admissions, CSE Dept. DTU (2023-24, 2024-25).
• Member of ISO and Academic Audit Team, CSE Dept., DTU.
• Member of Mid Semester Exam Organizing Committee, CSE Dept. DTU (2023-24).
• Member of Registration cum Orientation Committee of B.Tech. admitted students Induction Programme (2022-23, 2023-24).
• Member of Hospitality and Catering Committee of DTU Convocation (2021, 2022, 2023).
• Co-Incharge of Computer and Architecture Lab AB-718, CSE Dept., DTU.