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.

Courses Taught

• Programming Fundamentals (Odd 2021, 2022, 2023, Even 2022, 2023)
• Data Structures (Odd 2021, 2022, 2023, Even 2024)
• Analysis and Design of Algorithms (Even 2022)
• Theory of Computation (Odd 2021, 2022, 2024)
• Artificial Intelligence (Even 2021, 2024)
• Pattern Recognition (Even 2021)
• Artificial Neural Networks PG (Odd 2024)

Awards and Recognition

• Best Paper Award, ICSTSN 2024 for the paper titled "Unveiling Anomalies: A Review of Anomaly Detection Through Lens of Explainable AI"
• Best Paper Award, ICSTSN 2023 for the paper titled "Blood cell classification using neural network models" 
• 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 

PhD Students

• Meenakshi Deewan (Co-Supervisor: Dr. Rajeev Kumar) - Full Time
• Immanni Ganesh (Co-Supervisor: Dr. Rajeev Kumar) - Full Time
• Hansika Mittal (Co-Supervisor Dr. Pawan Singh Mehra) - Part Time
• Ashutosh Bahuguna (Co-Supervisor Dr. Pawan Singh Mehra) - Part Time 

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. Currently working as Consultant Software Engineer at ARM Embedded Technologies, Bengaluru.
• Shikhar Asthana (M.Tech. AI 2022-24): Thesis Title: Anomaly Detection using Generative Adversarial Networks.
• Satyendra Kumar (M.Tech. CSE 2023-25): Ongoing
• Shray Gupta (M.Tech. by Research CSE 2024-26): Ongoing
• Aastha Ahlawat (M.Tech. AI 2024-26): Ongoing
• Harshit Garg (M.Tech. AI 2024-26): Ongoing

SCI(E) Publications

• Kartikey Vishnu, Devdoot Chatterjee, Anurag Goel, and Rajeev Kumar, "Deep convolutional architectures for optimizing multi-element airfoil systems", Physics of Fluids, Volume 36, Issue no. 11 (2024), https://doi.org/10.1063/5.0234254 (IF: 4.1).
• Jyoti Maggu, and Anurag Goel, "K-BEST subspace clustering: kernel-friendly block-diagonal embedded and similarity-preserving transformed subspace clustering", Pattern Analysis and Applications, 27, 119 (2024), https://doi.org/10.1007/s10044-024-01336-2 (IF: 3.7).
• 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

• Anurag Goel and Angshul Majumdar, "Semi-Supervised Graphical Deep Dictionary Learning for Hyperspectral Image Classification From Limited Samples", In IEEE 31st International Conference on Image Processing (ICIP 2024), pp. 2108-2114, 10.1109/ICIP51287.2024.10647482.

• Shikhar Asthana, and Anurag Goel, "Unveiling Anomalies: A Review of Anomaly Detection Through Lens of Explainable AI", Third International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN), pp. 1-6. IEEE, 2024, https://doi.org/10.1109/ICSTSN61422.2024.10670939.

• Shobhit Verma, Srishti Arora, Tanvi Kayat, and Anurag Goel, "Enhancing Image Translation with Conditional Generative Adversarial Networks", Third International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN), pp. 1-6. IEEE, 2024, https://doi.org/10.1109/ICSTSN61422.2024.10670894.

• Shikhar Asthana, and Anurag Goel, "ConGANomaly: A Contrastive Learning Approach Of Anomaly Detection Using Generative Adversarial Networks", 15th International Conference on Computing Communication and Networking Technologies (ICCCNT), pp. 1-7. IEEE, 2024, https://doi.org/10.1109/ICCCNT61001.2024.10726188

• 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. 

• Jagrit Mitra, Kartik Vijayran, Kartikeya Verma, and Anurag Goel, "Blood cell classification using neural network models", 2023 2nd International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN), pp. 1-5. IEEE, 2023.

• 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.
• Senior 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, M.Tech by Research (CSE), DTU.
• 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 Governance Structure for Centre of Excellence in Disaster Risk Reduction (COEDRR), Dept. of Civil Engineering, DTU.
• Member of ISO and Academic Audit Team, CSE Dept., DTU.
• Member of Research Excellence Awards Scrutiny Committee (2024).
• Member of Research Excellence Awards Organizing Committee (2024).
• Member of Mid Semester Exam Organizing Committee, CSE Dept. DTU (2023-24, 2024-25).
• Member of Registration cum Orientation Committee of B.Tech. admitted students Induction Programme (2022-23, 2023-24, 2024-25).
• Member of Hospitality and Catering Committee of DTU Convocation (2021, 2022, 2023).
• Jury Member, Smart India Hackathon 2024, DTU.
• Co-Incharge of Computer and Architecture Lab AB4-718, CSE Dept., DTU.

Conferences/FDPs/Workshops/Seminars Organized

• Coordinator of Three Week Technical Training Programme for DANICS Probationers (59th, 60th and 61st batches) at Delhi Technological University from 20.08.2024 to 06.09.2024.
• Coordinator of Workshop on “Recent Innovations in Quantum Cryptography“ organized by Department of Computer Science and Engineering, DTU in association with Institute's Innovation Council, DTU on14th August, 2024.
• Coordinator of Workshop on “Skill Development and Atmanirbhar Bharat in Context of NEP-2020” organized by Human Resource Development Centre, DTU on 13th August, 2024.
• Coordinator of Session on “World Quantum Day“ celebration organized by Department of Computer Science and Engineering, DTU on 15th May, 2024.
• Coordinator of Workshop on “Relevance of Ancient Technology in Modern Times in Context of NEP-2020” organized by Human Resource Development Centre, DTU on 5th April, 2024.
• Coordinator of Seminar on “Stress Management with Ancient Bharatiya Wisdom” organized by Human Resource Development Centre, DTU on 4th April, 2024.
• Coordinator of “Hands-on training on Tools for Document Writing in MS Word for administrative staff of DTU” organized by Human Resource Development Centre, DTU on 21st March, 2024.
• Co-Cordinator of Online Short Term Course on Demystifying Intellectual Property for Research Integrity and Economic Development organized by Department of Computer Science and Engineering, DTU from 13th March 2023 to 17th March 2023. 

Conferences/FDPs/Workshops/Seminars Attended

• Presented paper and Participated in IEEE 31st International Conference on Image Processing (ICIP 2024), 27th October 2024 to 30th October 2024 in Abu Dhabi, UAE.
• Participated in One week Faculty Development Programme on “Advanced Teaching Pedagogy and Outcome-based Education in Context of NEP-2020” organized by Human Resource Development Centre, DTU in association with NITTTR Bhopal during 27th May 2024 to 31st May 2024 in DTU.
• Completed Two weeks Industrial Training on Cyber Security and Networking during 6th July 2023 to 22nd July 2023 organized by BSNL ALTTC Centre, Ghaziabad (U.P.).
• Participated in One week Short Term Training Programme on “Introduction to High Performance Computing and its Applications in AI” organized by Department of Computer Science and Engineering, DTU in association with CDAC, Pune during 7th August 2024 to 11th August 2023.
• Participated in One week Short Term Course on “Machine Learning and Deep Learning for AI Applications” organized by Department of Information Technology, Delhi Technological University from 5th June to 9th June 2023.
• Participated in "Symposium on Computational Creativity 2023" organized by Infosys Centre for Artificial Intelligence (CAI) at IIIT Delhi on 25th March 2023.
• Participated in "Artificial Intelligence Summer School (AISS) 2022" organized by Infosys Centre for Artificial Intelligence (CAI) at IIIT Delhi from 26th August 2022 to 28th August 2022.
• Participated in Online Session on "Accelerators/Incubation Opportunities for Students and Faculties Early Stage Entrepreneurs" organized by CSE Dept, Delhi Technological University on 20th August 2022.
• Participated in Faculty Development Programme on “NBA Accredition Procedure” held from 9th to 11th May 2022 at Delhi Technological University.
• Participated in Workshop on "Intellectual Property Rights (IPRs) & IP-Management for Start-Up" organized by the Department of Software Engineering, Delhi Technological University held on 28th April 2022.
• Participated in Online Four-weeks Induction/Orientation Programme for "Faculty in Universities" from 15th February 2022 to 16th March 2022 conducted by Teaching Learning Centre, Ramanujan College, University of Delhi.
• Participated in “Research Week With Google Research” held during February 2022 in online mode.
• Participated in Online Two-weeks Interdisciplinary Refresher Course on "Advanced Research Methodology" from 22nd January to 05th February 2022 conducted by Teaching Learning Centre, Ramanujan College, University of Delhi.
• Participated in AICTE Training and Learning (ATAL) Academy Online Adance FDP on "Data Science" from 27th to 31st December 2021 at Indian Institute of Information Technology, IIIT Una.
• Participated in Training Programme for Faculty Members conducted at Delhi Technological University by HRDC, DTU on 29-30th November 2021.
• Attended Webinar on "Entrepreneurship and Innovation as Career Opportunity" organized by Computer Science and Engineering Department, Delhi Technological University on 24th November 2021.
• Participated in Workshop on AI for Computational Social Systems ACSS 2021 held at IIIT Delhi.
• Participated in Training Programme on Procurement Procedures and Provisions held on 28th October 2021 at Directorate of Training, UTCS, Behind Karkardooma Court, Delhi.
• Participated in 2-week Summer School on "Industry 4.0: Security and Technological Aspects (SSIST’2021)", technically sponsored by IEEE UP Section (India), organized by the Department of Computer Science and Engineering of Jaypee Institute of Information Technology, Noida from 9th August to 21st August 2021.
• Completed the following Online Eight Teacher Training Modules of National Initiative of Technical Teachers Training (NITTTR) in September 2021:
  • a. Module 1: Orientation Towards Technical Education and Curriculum Aspects
  • b. Module 2: Professional Ethics and Sustainability
  • c. Module 3: Communication Skills, Modes and Knowledge Dissemination
  • d. Module 4: Instructional Planning and Delivery
  • e. Module 5: Technology Enabled Learning and Life-long Self Learning
  • f. Module 6: Student Assessment and Evaluation
  • g. Module 7: Creative Problem Solving, innovation and Meaningful R&D
  • h. Module 8: Instructional Management and Administrative Procedures.