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 more than 12 years of regular Teaching Experience. Dr. Chugh has completed her Doctorate Degree from Delhi Technological University, New Delhi. 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.

TOTAL TEACHING EXPERIENCE:

• 12 years 6 months

CURRENT POSITION

• Working as an Assistant Professor in the Department of Computer Science & Engineering at Delhi Technological University, Delhi, from March 2025 till date.

PREVIOUS EXPERIENCE

• Worked as Assistant Professor in the Department of Artificial Intelligence and Machine Learning at Maharaja Agrasen Institute of Technology, GGSIPU, New Delhi from September 2022 to March 2025.
• Worked as Assistant Professor in the Department of Information Technology at Dr. Akhilesh Das Gupta Institute of Technology and Management, GGSIPU, New Delhi from January 2017 to September 2022.
• Worked as Assistant Professor in the Department of Computer Science and Engineering at PDM College of Engg, Bahadurgarh (Haryana) from July 2013 to January 2017.

• Artificial Intelligence
• Operating System
• Object Oriented Programming(C++)
• Java
• Machine Learning
• Deep Learning
• Natural Language Processing
• Programming in C 
• DBMS
• Software Engineering 

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.

• Jain, U., Sharma, V., Kaushik, S., Chugh, G., & Lamba, T. (2025).“A novel framework for drowsiness detection for driver's safety”,  In Recent Trends in Intelligent Computing and Communication (1st ed., p. 5). CRC Press.DOI:10.1201/9781003593089-24, (pp.142-146)

 

• “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)

• Commendable Research Award at “5th Research Excellence Awards, DTU”  on March 3, 2022.
• Qualified UGC NET in Computer Science & Applications in 2020.
• Qualified GATE in Computer Science & Engineering in 2011.

FACULTY DEVELOPMENT PROGRAMME/Short TERM COURSES/WORKSHOP ATTENDED

• Participated in the Faculty Induction Program for the Newly recruited Assistant Professors of DTU by HRDC, Delhi Technological University (DTU) from 3rd December 2025 to 5th December 2025.
• Participated in the Professional Development Programme on “Course File Preparation and Question Paper Setting based on OBE" conducted by NITTTR, Chennai , from 13th October 2025 to 17th October 2025 at Delhi Technological University (DTU), New Delhi.
• Successfully Completed the following Eight Teacher Training Modules(MOOCs) of the National Initiative of Technical Teachers Training (NITTTR) in September 2025:
  • Module 1: Orientation Towards Technical Education and Curriculum Aspects
  • Module 2: Professional Ethics and Sustainability
  • Module 3: Communication Skills, Modes and Knowledge Dissemination
  • Module 4: Instructional Planning and Delivery
  • Module 5: Technology Enabled Learning and Life-long Self Learning
  • Module 6: Student Assessment and Evaluation
  • Module 7: Creative Problem Solving, innovation and Meaningful R&D
  • Module 8: Instructional Management and Administrative Procedures.
• Participation in One week FDP/STC on "Ethereum Blockchain: From Fundamentals to Advanced Development" jointly organized by Kerala Blockchain Academy (KBA) and Delhi Technological University (DTU) from 19th May to 23rd May 2025 at Delhi Technological University.
• 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
• 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.
• 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 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 “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 “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 “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 “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 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 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 “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 “Artificial Intelligence” organized by Motilal Nehru National Institute of Technology(MNIT), Allahabad from 1st-5th Oct, 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 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.
• 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 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.
• Two days workshop on "Machine Learning" organized by AICTE on 7th and 8th February 2019 at Bhaskara Hall, AICTE (HQ), New Delhi.
• Five days Faculty Development Programme  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
• Five days Faculty Development Programme  on “Machine Learning and its Real World Application” at Bharati Vidyapeeth College of Engineering, New Delhi from 17th to 21st April, 2017
• Two days Faculty Development Programme on “Machine Learning and Soft Computing Techniques” at Amity University on 28-29, May 2015
• One Week Faculty Development Programme  on "Effective Engineering Education" at PDM College of Engineering Bahadurgarh from 3rd to 9th Feb, 2014

EXPERT LECTURE DELIVERED

• Delivered an Expert Lecture on the topic “AI and Deep Learning Applications in Healthcare” in a workshop organized by the Department of CSE, Delhi Technological University, from April 28 -April 29, 2025.
• Delivered  Sessions in the Explore Engineering Programme organized by Delhi Technological University from July 21 to July 25 2025, conducted for students of Classes 9 to 12 from various schools, on the "Basics of engineering, AI, Generative AI, Introduction to Machine Learning and Deep Learning".

 

M.Tech Supervision

• Supervised 4 M.Tech Scholars

B.Tech Projects

• Supervised more than 40+ B.Tech Projects