Dr. Aarti Chugh is an academician, presently working as Associate Professor in the School of Computer Science & Engineering at IILM University, Gurugram. She has a rich and diverse experience spanning over 23+ years across academia, research, and administration. Her primary research interests lie in Artificial Intelligence and Machine Learning, Big Data Analytics, Image Processing, and Database Systems. As a researcher and author, she has published extensively, contributing 24 articles to national and international journals (including SCI and Scopus-indexed publications), 19 conference papers, 13 book chapters, and authored/edited multiple books. She also holds 6 patents, including 2 published patents in 2026. She currently serves as Industry Integration Coordinator and as Coordinator of the Mentor-Mentee Programme at the School of Computer Science & Engineering, IILM University, Gurugram, and actively supervises Ph.D. scholars in areas spanning brain-computer interfaces, cybersecurity, and secure automotive software systems.

Educational Qualification

• Ph.D. (Computer Science), Jagannath University, Jaipur
  – Title: A Novel Framework for Query Optimization of Big Data in Telecommunication Sector
• M.Tech. (CSE), Manav Bharti University, Himachal Pradesh (71.45%)
• M.C.A., Maharshi Dayanand University, Rohtak (74.45%)
• B.Sc. (Computer Applications), Kurukshetra University, Kurukshetra (77.03%)

Research and Scholarly Publication

SCI INDEXED JOURNALS

• S. Srivastava, T. Nagpal, K. Kaur, C. Jain, N. N. Das, and A. Chugh, “Atrous Spatial Pyramid Pooling Assisted Automatic Segmentation Model and Ellipse Fitting Approach Based Fetal Head Segmentation and Head Circumference Measurement”, Biomedical Signal Processing and Control, Vol. 109, p. 107992, 2025. (SCI Indexed)
• “Spider Monkey Crow Optimization Algorithm With Deep Learning for Sentiment Classification and Information Retrieval”, IEEE Access, Vol. 9, pp. 24249-24262, 2021, doi: 10.1109/ACCESS.2021.3055507. (SCI Indexed)

SCOPUS / WEB OF SCIENCE INDEXED JOURNALS

• “Efficient Image Deblurring Application Using Combination of Blind Deconvolution Method and Blur Parameters Estimation Method”, ECS Transactions – The Electrochemical Society, Vol. 107, pp. 3695-3704, 2022. (Scopus Indexed)
• “An Application Module of IOT for Environment Protection”, ECS Transactions – The Electrochemical Society, Vol. 107, pp. 5263-5270, 2022. (Scopus Indexed)
• “Integrating Robotic Process Automation with Machine Learning for Incoming Customer Email Query Processing”, Journal of Critical Reviews, ISSN: 2394-5125, Vol. 7, Issue 18, pp. 414-420, July 2020. (Scopus Indexed)
• “System Design for Active Tremor Stabilization”, International Journal of Psychosocial Rehabilitation, ISSN: 1475-7192, Vol. 24, Issue 08, pp. 8354-8361, May 2020. (Scopus Indexed)
• “Palm Vein Technology for Biometrics”, International Journal of Innovative Technology and Exploring Engineering, ISSN: 2278-3075, Vol. 8, Issue 9, pp. 598-602, July 2019. (Scopus Indexed)
• “Learning Approach for Offline Signature Verification using Vector Quantization Technique”, Springer AISC Series, ISBN: 978-3-319-13731, Dec. 2014. (Scopus Indexed)

UGC CARE LIST PUBLICATION

• “Computer Vision for Color Detection”, International Journal of Innovative Research in Computer Science & Technology (IJIRCST), ISSN: 2347-5552, Vol. 9, Issue 3, May 2021, pp. 53-59.
• “Media Manipulation Detection System Using Passive Aggressive”, International Journal of Innovative Research in Computer Science & Technology (IJIRCST), ISSN: 2347-5552, Vol. 9, Issue 3, May 2021, pp. 48-52.
• “Approach of Image Processing in Diagnosis and Medication of Fungal Infections in Pet Animals”, International Journal of Innovative Research in Computer Science & Technology (IJIRCST), ISSN: 2347-5552, Vol. 8, Issue 4, July 2020, pp. 290-293.
• “Performance Considerations in Implementing ChatBots in Enterprise”, Journal of Emerging Technologies and Innovative Research, ISSN: 2349-5162, Vol. 6, Issue 5, pp. 284-286, May 2019.
• “Big Data Analytics: A Way to Big Commerce”, Journal of Emerging Technologies and Innovative Research, ISSN: 2349-5162, Vol. 6, Issue 5, pp. 504-506, May 2019.
• “Retrieval of Multiple Language Text from Webpages using Big Data”, Journal of Emerging Technologies and Innovative Research, ISSN: 2349-5162, Vol. 5, Issue 6, pp. 506-509, June 2018.
• “Blind Image Deconvolution using Frequency Spectrum in Motion Blur Estimation”, International Journal of Advanced Research in Computer Science, ISSN: 0976-5697, Vol. 8, Issue 5, pp. 2442-2445, June 2017.
• “Big Data for Improvement in Translation Process of Webpages”, International Journal of Recent Research Aspects, ISSN: 2349-7688, Vol. 3, Issue 2, pp. 25-27, June 2016.
• “Evaluation of Image Deblurring Techniques”, International Journal of Computer Applications, ISSN: 0975-8887, Vol. 139, No. 12, pp. 32-36, April 2016.
• “Purview of Autonomic Computing”, International Journal of Recent Advances in Engineering and Technology, ISSN: 2347-2812, Vol. 4, Issue 1, pp. 115-119, Feb. 2016.
• “Design & Development of BFO Based Robust Watermarking”, International Journal of Computer Applications, Proceedings on Innovations in Computing and Information Technology, ISBN: 0975-8887, July 2015.
• “Review of Database Cracking Techniques”, International Journal of Recent Research Aspects, ISSN: 2349-7688, Vol. 2, Issue 2, July 2015.
• “An Offline Signature Verification using Adaptive Resonance Theory 1 (ART1)”, International Journal of Computer Applications, Vol. 94, No. 2, pp. 8-11, May 2014.
• “An Offline Signature Verification System: An Approach Based on Intensity Profile”, International Journal of Emerging Technologies in Computational and Applied Sciences, ISSN: 2279-0055, pp. 143-146, May 2014.
• “Optimization of Stochastic Database Cracking”, Cornell University Library, ISBN: 1305.1713, May 2013.
• “Performance Considerations in Implementing Offline Signature Verification”, International Journal of Computer Applications, ISBN: 0975-8887, Vol. 46, No. 11, pp. 1-4, May 2012.

CONFERENCE PAPERS

• Tushar Agarwal, Bhavesh Singh, Aarti Chugh, “DenseNet-121 for Intelligent Lung Disease Detection”, in Innovations in Artificial Intelligence and Computing (ICAIC 2025), Lecture Notes in Networks and Systems, Vol. 1830, July 2026, Springer, Singapore. (Scopus Indexing in process)
• Anshul, H. Sharma, A. Chugh, A. Aggarwal and M. Sabharwal, “A Survey of Network Simulation Tools and Digital Twin Technology for Cyber Threat Modeling in Smart Infrastructure”, 2026 International Conference on Intelligent Systems in Engineering, Secured Systems and Cybersecurity (ICISESSC), Greater Noida, India, 2026, pp. 65-70. (Scopus Indexed)
• J. Singh and A. Chugh, “Lightweight Deep Learning Framework for On-Device Crop Disease Diagnosis”, 2025 2nd International Conference on Intelligent Systems for Cybersecurity (ISCS), Gurugram, India, 2025, pp. 1-5. (Scopus Indexed)
• T. Agarwal, B. Singh and A. Chugh, “MedBot: A Novel Sequential Pipeline for Context Recognition Based on SciSpacy and Med7 Entity Recognizer”, 2024 Second International Conference on Advanced Computing & Communication Technologies (ICACCTech), Sonipat, India, 2024, pp. 875-879. (Scopus Indexed)
• A. Chugh, R. K. Yadav and T. Agarwal, “Optimization Accuracy of MRI Brain Image Based Tumor Detection Using Deep Learning LSTM Technique”, 2024 Second International Conference on Advanced Computing & Communication Technologies (ICACCTech), Sonipat, India, 2024, pp. 909-913. (Scopus Indexed)
• M. Naajim, A. Gambhir, and A. Chugh, “Deep Learning Models for Building and Shadow Detection in Aerial Imagery: A Comparative Study”, Computation of Artificial Intelligence and Machine Learning (ICCAIML 2024), Communications in Computer and Information Science, Vol. 2185, pp. 77-89, Sept. 2024, Springer, Cham. (Scopus Indexed)
• “Utilising Sentiment Analysis to Predict Market Movements in Currency Exchange Rates”, 2024 3rd International Conference for Innovation in Technology (INOCON), Bangalore, India, 2024, pp. 1-7. (Scopus Indexed)
• “Churn Analysis for Constructive Employment Using Machine Learning Classifiers”, 4th International Conference on Information Management & Machine Intelligence (ICIMMI-2022), ACM, May 2023. (Scopus Indexed)
• “Design of Artificial Intelligence Enabled Game Engine”, 4th International Conference on Information Management & Machine Intelligence (ICIMMI-2022), ACM, May 2023. (Scopus Indexed)
• “A Big Data Query Optimization Framework for Telecom Customer Churn Analysis”, International Conference on Innovative Computing and Communications, 2021, Advances in Intelligent Systems and Computing, Vol. 1388, pp. 475-484, Springer, Singapore. (Web of Science Indexed)
• “A Comparative Study of Anti Tremor Devices”, 5th International Conference on Communication and Electronics Systems (ICCES 2020), PPG Institute of Technology, Coimbatore, pp. 1202-1207, 10 July 2020. (Scopus Indexed)
• “Opportunities and Challenges in Direct Selling”, National Seminar on Building Sustainable Future for Youth, ISBN: 978-81-945263-0-8, pp. 6-10, Jan. 2020.
• “Design & Development of BFO Based Robust Watermarking”, National Conference on Innovation in Computing & Information Technology, COGNITION 2015, 25-26 Feb. 2015.
• “GUI Based Test Case Generation – A Review”, National Conference on Innovation in Computing & Information Technology, COGNITION 2015, 25-26 Feb. 2015.
• “Panoramic View of Offline Signature Verification”, National Conference NCACT-2011, ISBN: 978-81-8424-705-3, 8 Sept. 2011, Amity University, Haryana.
• “An Optimal Approach to Offline Signature Verification using GMM”, International Conference ICSE-11, ISBN: 978-981-08-7931-0, Vaish College of Engineering, Rohtak, 2011.
• “Analysis of IEEE 802.11 to Support QoS in WLANs”, International Conference SRIJAN, 10, MAIMT, Jagadhari.
• “Panoramic Picture of Autonomic Computing”, National Conference ACCT, 10, Vaish College of Engineering, Rohtak.
• “Network Security Threats and Its Solutions”, National Conference ACCT, 10, Vaish College of Engineering, Rohtak.
• “Quality Enhancement in Technical Education”, National Conference on Opportunities and Challenges in Technical Education, JIMT, Radhore.

BOOK CHAPTERS

• Aarti Chugh, Tushar Agarwal, Pooja Batra Nagpal, Utkarsh Mishra, “From Security to Scalability: Exploring Quantum Cryptography and the Evolution of Quantum Computers”, Bentham Science. (In process)
• Pooja Nagpal, Aarti Chugh, Om Rohilla, “G-GenAI: An AI-Driven Framework for Co-Creative Game Development”, in Examining AI Innovations in Gaming and Entertainment, IGI Global Scientific Publishing, Feb. 2026, ISBN: 9798337336909. (Scopus Indexed)
• Aarti Chugh, Akshat Agrawal, Arpita Soni, “Revolutionizing Operations Research with Deep Learning Techniques”, in Deep Learning Applications in Operations Research, Routledge, Jan. 2026, ISBN: 9781003466314. (Scopus Indexed)
• “Integration of Haptic Technology and Machine Learning for Driver Safety: A Survey”, Recent Advances in Sciences, Engineering, Information Technology & Management, CRC Press, Feb. 2025, ISBN: 9781003598152.
• “Quantum Machine Learning Algorithms: A Comprehensive Review”, Industrial Quantum Computing: Algorithms, Blockchains, Industry 4.0, De Gruyter, 2025, pp. 37-52. (Scopus Indexed)
• “Intelligent Electric Vehicles: Leveraging AI-IoT for Sustainable Mobility”, Sustainable IoT and Data Analytics Enabled Machine Learning Techniques and Applications, Springer, Singapore, Sept. 2024, pp. 21-40. (Scopus Indexed)
• “Sustainability in the Age of AI: Exploring Challenges and Innovative Solutions”, Convergence Strategies for Green Computing and Sustainable Development, IGI Global, 2024, pp. 1-16. (Scopus Indexed)
• “A Systematic Review on ECG and EMG Biomedical Signal using Deep Learning Approaches”, Artificial Intelligence-based Healthcare Systems, AIHS 2023, Springer Series in Applied Machine Learning, Oct. 2023. (Web of Science)
• “Integrating Robotic Process Automation and Machine Learning for Web Scraping”, International Conference on Intelligent Systems and Smart Infrastructure, ICISSI-2022, CRC Press Taylor & Francis Group. (Web of Science)
• “Detection of Cross-Site Scripting and Phishing Website Vulnerabilities Using Machine Learning”, Advanced Smart Computing Technologies in Cybersecurity and Forensics, CRC Press Taylor & Francis Group, ISBN: 9780367686505, Dec. 2021. (Scopus Indexed)
• “IoT-Based Multifunctional Smart Toy Car”, Lecture Notes in Networks and Systems, Springer Series, Vol. 103, pp. 455-461, Feb. 2020. (Scopus Indexed)
• “IoT-Based Data Logger for Environmental Monitoring”, Lecture Notes in Networks and Systems, Springer Series, Vol. 103, pp. 463-471, Feb. 2020. (Scopus Indexed)
• “Big Data and Query Optimization Techniques”, Algorithms for Intelligent Systems (AIS), Springer, pp. 337-345, Aug. 2019. (Web of Science Indexed)

BOOKS

• Aarti Chugh, Pooja Batra Nagpal, Tushar Agarwal, Akshat Agrawal, “AI and Human Behavior: Integrating Data Science with Behavioral Understanding”, Bentham Science. (In process)
• Associate Editor of National Conference Souvenir, “Innovation in Computing & Information Technology – COGNITION 2015”, Publisher C.B.C, ISBN: 978-81-929991-8-0.
• Author of E-Book titled “Colored Image Compression by using EZW, SPIHT, EBCOT”, Lambert Academic Publishing, ISBN: 978-613-8-38676-6, May 2018.
• Author of E-Book titled “Image Deblurring Using Blind Deconvolution”, Lambert Academic Publishing, ISBN: 978-613-9-45700-7, 6 March 2019.

PATENTS

• “A Wearable Monitoring Device and Method for Monitoring Environmental and Physiological Conditions of a User”, Application No. 202611042445 A, published 15 May 2026.
• “Localized Digital Infrastructure System and Method for Delivering User-Specific Services”, Application No. 202511118291 A, published 16 Jan. 2026.
• Design Patent “IOT-Enhanced Student & Industry Professionals Networking Device”, Design No. 440372-001, published Dec. 2024.
• “Smart Crop Field Barricade System”, Application No. 202411057500, published Aug. 2024.
• “Intelligent Green House Using IOT”, Patent No. 2021100630, term of eight years from 2 Feb. 2021.
• “An Anti-Tremor Pen”, File No. CRN3873, filed 1 May 2020.