Computer Science & Engineering
Phone:0
Email: gunjanchugh@dtu.ac.in
Qualifications
B.Tech, M.Tech, Ph.D
Areas of Interest
Artificial Intelligence,Deep Learning, Machine Learning, Natural language Processing, Medical Image Processing
Address:
Room No. 501-C, Academic Block - 4, Delhi Technological University, Shahbad, Daulatpur, Main Bawana Road, Delhi-110042, India.
Research Profile:
ORCID ID: 0009-0000-1956-2685
Google Scholar Link: https://scholar.google.com/citations?user=fa4sCVcAAAAJ&hl=en
Profile Summary
Dr. Gunjan Chugh is currently working as an Assistant Professor in the Department of Computer Science Engineering at Delhi Technological University, New Delhi. She has completed her Doctorate Degree from Delhi Technological University, New Delhi in 2024. Dr. Chugh has 12 years of regular Teaching Experience. She received her M. Tech degree with distinction in Computer Science from Banasthali University, Rajasthan in 2013 and her B. Tech degree with distinction in Computer Science and Engineering from Maharshi Dayanand University in 2011. Dr. Chugh qualified GATE exam in 2011 and UGC-NET in 2019. She has published many papers in international journals and conferences. She has also published and has been granted two patents in year 2022 and 2024. Dr. Chugh also serves as a reviewer of various SCI and Scopus Indexed Journals. Her research interests include Artificial Intelligence, Deep Learning, Machine Learning, Natural Language Processing and Medical Image Processing.
PATENTS
- “Intelligent IOT Based Robot for Germicide Spray at Hospital Lavatories”- Design patent, Intellectual Property India, Government of India. (Design No. 360993-001) (Published & Granted, Date -21/03/2022)
- “IOT Based Robot Thermal Neonatal Carry Device”- Design patent, Intellectual Property India, Government of India. (Design No. 425652-001) (Published & Granted, Date -2/08/2024)
PUBLICATIONS
International Journals
- Chugh, G., Kumar S., and Singh N. "Survey on Machine Learning and Deep Learning Applications in Breast Cancer Diagnosis." Cognitive Computation (2021), https://doi.org/10.1007/s12559-020-09813-6
- Chugh, G., Kumar, S. & Singh, N. “TransNet: a comparative study on breast carcinoma diagnosis with classical machine learning and transfer learning paradigm”. Multimed Tools Appl (2023), https://doi.org/10.1007/s11042-023-16938-x
- Rustagi D., Maindola G., Jain H., Gakhar B., and Chugh G., “Virtual Control Using Hand – Tracking”, International Journal for Modern Trends in Science and Technology, Vol 8, Issue 1, 2022, https://doi.org/10.46501/IJMTST0801005
- Pathak A., Kumar A., Priyam, Gupta P. and Chugh G., "Real Time Sign Language Detection , International Journal for Modern Trends in Science and Technology, 8(01): 32-37, 2022, https://doi.org/10.46501/IJMTST0801006
- Jain H., Maindola G., Rustagi D., Gakhar B., Chugh G. ,“Brain Tumor Detection Using Image Segmentation”, International Journal for Modern Trends in Science & Technology, ISSN: 2455-3778, 147-153, 2022, https://doi.org/10.46501/IJMTST0806022
- Priyam, Gupta P., Pathak A., Kumar A., Chugh G., “Smart Surveillance System”, International Journal of Advances in Engineering and Management (IJAEM) Volume 4, Issue 6 June 2022, pp: 565 – 570, 2395-5252, 10.35629/5252-0406565570
- Gupta, A., Verma, M., Bisht, S., Singh, S., Chugh, G., “Economic Impacts of Covid 19”, International Research Journal of Modernization in Engineering Technology and Science, Volume:03, Issue:06, 3294-3304, e-ISSN: 2582-5208, June-2021
- Chugh, G., Ishani, Bhatt, L., Riya, “Realistic Image Outpainting Model”, International Journal of Advances in Engineering and Management (IJAEM), Volume 2, Issue 11, pp: 567-570, 2021, ISSN: 2395-5252, 10.35629/5252-0211567570
- Chugh, G., Sharma, A., Chaudhary, P., Khanna, R., “Potato Leaf Disease Detection Using Inception V3”, International Research Journal of Engineering and Technology (IRJET), Volume: 07 Issue: 11, Nov 2020,
- Gupta, A., Verma, M., Bisht, S., Singh, S., Chugh, G., “Covid-19: Visualizations and Forecasting”, International Research Journal of Engineering and Technology (IRJET), Volume 07, Issue: 11, Nov 2020
- Bansal, I., Aggarwal K., Girish, Kumar N., Chugh, G., “Driver Drowsiness Detection System”, International Journal for Technological Research in Engineering, Volume 8, Issue 3, Nov 2020
- Chugh, G., Sachdeva, S., Gupta, R., Mahajan, P., Jain, S., “Overview of Augmented Reality in Education”, International Research Journal of Engineering and Technology (IRJET), Volume: 06 Issue: 04, 4610-4616, Apr 2019, ISSN: 2395-0056
- Chugh, G., Mahajan, D., Sehgal, N., Paul, A., Budhiraja, L., “Code Cloning using Abstract Syntax Tree”, International Research Journal of Engineering and Technology (IRJET), Volume: 06 Issue: 04, 3962-3967, , Apr 2019, ISSN:2395-0056
- Chugh, G., Narula, M., Sagar, Jain, S., Singh, S., “A Survey on Application of Automobile Safety Features”, International Research Journal of Engineering and Technology (IRJET), Volume: 06 Issue: 04, 5055-5059, Apr 2019, ISSN:2395-0056
- Chugh, G., Saini, R., Gupta, N., Manchanda, R., “Voice Recognition Technique: A Review”, IJSRD - International Journal for Scientific Research & Development| Vol. 7, Issue 03, 2019, ISSN: 2321-0613
- Chugh, G., Yadav, R., Saini, Ravi. “A New Image Steganographic Approach based on ModFactor for RGB Images”, International Journal of Signal Processing, Image Processing and Pattern Recognition (IJSIP), Vol.7, No. 3, July 2014
- Chugh, G., “Information Hiding - Steganography & Watermarking: A Comparative Study”, International Journal of Advanced Research in Computer Science, Volume 4, No. 4, March-April, 2013, ISSN No. 0976-5697
- Chugh, G., “Image Steganography Techniques: A Review Article”, Acta Technica Corviniensis- Bulletin of Engineering, Tome VI, July-September, 2013, Fascicule3, ISSN No. 2067-3809
International Conference
- G. Chugh, S. Kumar, and N. Singh, "A Framework for Generalization Error Evaluation in Deep Convolutional Neural Networks," IEEE Conference on Engineering Informatics (ICEI), November 2023, Maharashtra, India.
- G. Chugh, S. Kumar and N. Singh, "MSTLA: Multi-Stage Transfer Learning Approach for Breast Carcinoma Diagnosis," 2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT), Gharuan, India, May 2023, pp. 509-514, doi: 10.1109/InCACCT57535.2023.10141697.
- R. Garg, N. Lathwal, M. Kumar, G. Chugh, and T. Lamba, “Facial Emotion Recognition Music Player: Enhancing Music Experience through Computer Vision and Machine Learning,” 2023 International Conference On Intelligent and Smart Computation (ICIASC), Gharuan, India, 2023 (Scopus-Indexed, AIP Conference Proceedings)
- D. Mahajan, D. Seth, R. Khanna, and G. Chugh, “Gene Family Classification using Machine Learning: A Comparative Analysis,”, 4th International Conference on Data Analytics & Management (ICDAM-2023) (Scopus Indexed-Springer LNNS series)
- G. Goyal, V. Kumar, P. Aggarwal, G. Chugh, and T. Lamba, “Comparative Analysis of Face Recognition Models for Criminal Detection,” International Conference on Artificial Intelligence: Theory and Applications (AITA 2023), (Scopus Indexed-Springer LNNS series)
- M. Tyagi, M. Ali, G. Kaim, T. Lamba, and G. Chugh, “Music Recommendation System using Multiple Machine Learning Models,” 4th International Conference on Data Analytics & Management (ICDAM-2023)
- Chugh, G., Sharma, A, Gupta, S., Batra, M., 2021, May. "Sign Language Communication using Convolution Neural Network". In Proceedings of the International Conference on Advances in Computing & Communications (ICACC-2021), 19-20 May, 2021, ADGITM, Delhi
- Gupta, S., Batra, M., Chugh, G., 2021, May. "Fuzzy Clustering and Kernel-Based Type-2 Fuzzy Clustering: A comparative Study". In Proceedings of the International Conference on Advances in Computing & Communications (ICACC-2021), 19-20 May, 2021, ADGITM, Delhi.
- Batra, M., Gupta, S., Chugh, G., 2021, May. "Deep Learning Can be Used to Detect Fake News? A Survey: for Online Social Platform". In Proceedings of the International Conference on Advances in Computing & Communications (ICACC-2021), 19-20 May, 2021, ADGITM, Delhi.
- Khanna, R., Sharma, A., Choudhary, P., Chugh, G. “Floral Ailment Identification”, In Proceedings of International Conference on Advances in Computing & Communication, ADGITM, 19-20th May 2021, 19-20 May, 2021, ADGITM, Delhi.
- Bansal, I., Aggarwal K., Girish, Kumar N., Chugh, G., “Social Distancing Analyzer-Covid 19”, In Proceedings of International Conference on Advances in Computing & communication, ADGITM, 19-20th May 2021
National Conference
- Chugh, G., Gaba, P. “Review on Audio and Video Steganography Techniques”, In Proceedings of National Conference on Advances in Computing and Communication (NCACC), 15-16th March 2018, NIEC, Delhi
- Gaba, P., Chugh, G. “Child Safety System using RTLS”, In Proceedings of National Conference on Advances in Computing and Communication (NCACC), 15-16th March 2018, NIEC, Delhi.
FACULTY DEVELOPMENT PROGRAMME/WORKSHOP ATTENDED
- One Week FDP on "Effective Engineering Education" at PDM College of Engineering Bahadurgarh from 3rd to 9th Feb, 2014
- Two days FDP on “Machine Learning and Soft Computing Techniques” at Amity University on 28-29, May 2015
- Five days FDP on “Machine Learning and its Real World Application” at Bharati Vidyapeeth College of Engineering, New Delhi from 17th to 21st April, 2017
- Five days FDP on “Emerging Trends in Image and Text Analytics Using Machine Learning” at Bharati Vidyapeeth College of Engineering, New Delhi from 21st to 25th May 2018
- Two days workshop on Machine Learning organized by AICTE on 7th and 8th February 2019 at Bhaskara Hall, AICTE (HQ), New Delhi.
- One Week Online Faculty Development Programme on “Moodle- Learning Management System” organized by Spoken Tutorial Project- IIT Bombay from 15th May to 19th May, 2020 remotely at BBD Engineering College, Uttar Pradesh, Lucknow.
- Five days Online National Faculty Development Programme on “Applications of Machine Learning and Deep Learning” organized by Raj Kumar Goel Institute of Technology, Ghaziabad from 24th June to 28th June, 2020.
- One Week Online Faculty Development Programme on “Machine Learning and Deep Learning Applications in Engineering & Science” jointly organized by Govt. college of Engineering Karad and Rajkiya Engineering College Azamgarh from 16th May to 20th May, 2020.
- One Week Online International Faculty Development Programme on “Recent trends in Computer Science & IT” organized by Raj Kumar Goel Institute of Technology, Ghaziabad from 13th July to 17th July, 2020.
- One-week Online Faculty Development Programme on “Emerging Trends in Information Technology” organized by Institute of Information & Management (IITM), Janakpuri, New Delhi from 20th-25th July, 2020.
- One-week AICTE Training and Learning (ATAL) Online Faculty Development Programme on “Artificial Intelligence” organized by Motilal Nehru National Institute of Technology(MNIT), Allahabad from 1st-5th Oct, 2020.
- One-week AICTE Training and Learning (ATAL) Online Faculty Development Programme on “Neural Network and Deep Learning” organized by Guru Gobind Singh Indraprastha University from 23rd-27th Nov, 2020.
- One-week AICTE Training and Learning (ATAL) Online Faculty Development Programme on “Combating Cancer: Role of ML Techniques in Prevention and Treatment” organized by KIT-Kalaignarkarunanidhi Institute of Technology, Coimbatore from 7th -11th June, 2021.
- One-week AICTE Training and Learning (ATAL) Online Faculty Development Programme on “Medical Image Processing and 3D Applications” organized by the University College of Engineering from 5th -9th July 2021.
- One Week Online Faculty Development Programme on “Artificial Intelligence, Robotics & Automation” organized by Banasthali Vidyapith under the scheme of CURIE-Artificial Intelligence, Department of Science & Technology, Government of India from 9th- 14th March 2022.
- One Week Online Faculty Development Programme on “Emerging Trends and Applications of Machine Learning Based Artificial Intelligence” organized by Department of Computer Science & Engg., SRM Institute of Science & Technology, Delhi-NCR Campus, Ghaziabad from 20th- 25th Feb 2023.
- One Week Online Short Term Course on “Demystifying Intellectual Property For Research Integrity And Economic Development” organized by the Department of Computer Science & Engg., Delhi Technological University, New Delhi from 13th- 17th March 2023.
- One Week Online Faculty Development Programme on “Research Trends in Recent Technologies: Computational Intelligence & Cyber Security” organized by the Department of Information Technology, Bhagwan Parshuram Institute of Technology, from 1st- 5th April 2024.
- One Week Online Faculty Development Programme on “Python with Data Analytics” organized by Teaching Learning Centre, Ramanujan College in collaboration with the Department of Computer Science & Engg., Maharaja Agrasen Institute of Technology, Delhi from 7th- 13th August 2023.
- One Week Online Faculty Development Programme on “Recent Trends in Artificial Intelligence” organized by the Department of Computer Science & Application, Faculty of Science, Bhupal Nobles University, Udaipur in collaboration with Pantech e-Learning from 22nd – 27th January 2024.
- One Week Online Faculty Development Programme on “Generative AI” organized by the Department of Electronics & Telecommunication, D Y Patil College of Engineering, Akurdi, Pune with Pantech e-Learning from 4th – 9th February 2024.
- One Week Online Faculty Development Programme on “Research Trends in Recent Technologies: Computational Intelligence & Cyber Security” organized by Department of Information Technology, Bhagwan Parshuram Institute of Technology from 1st – 5th April 2024.
- One Week Online Faculty Development Programme on “Generative AI” organized by Department of CSE, Maharaja Agrasen Institute of Technology, Delhi in collaboration with Azure Developer Community and Reskill from 8th – 12th July 2024.
- Two days Online Workshop on “Vision Beyond Sight: Clinical and AI Solutions for Glaucoma(CAG-2024)” jointly organized by the Centre for Medical Imaging Studies, Gayatri Vidya Parishad College of Engineering, Visakhapatnam and Simadri Surya Eye Hospital, Odisha from 20th – 21st December 2024.
Last Updated : 2025-06-06 07:08:36