Indira Gandhi Delhi Technical University For Women
(Established by Govt. of Delhi vide Act 9 of 2012)
NAAC A+ Grade University
Department of Information Technology
Faculty Profile
Dr. Rishabh Kaushal
Qualifications : PhD (CSE) IIIT-Delhi, MS by Research (CSE) IIIT-Hyderabad, B.Tech. (CSE) GGSIPU
Designation : Assistant Professor, Incharge (Web Server), Incharge (ACM Student Chapter)
Teaching Interests : Machine Learning, Deep Learning, Computer Vision, Artificial Intelligence, Privacy and Security in Online Social Networks, Network Science.
Office Address : 408, IT Block, Third Floor
Email : [email protected]
Research Areas : Computational Social Science, Applied Machine Learning, Deep Learning, Computer Vision, NLP.
Bio-Sketch:
Website : https://rishabhkaushal.github.io
FACULTY UPDATES / ACHIEVEMENTS
S.No. Title Timeline Achievement Description
1Conducted Summer Workshop on Data Science and Machine Learning2019-05-27 to 2019-05-31ACM Student Chapter @ IGDTUW, the technical society at Department of Information Technology successfully conducted a week long summer workshop during 27th - 31st May, 2019 on the theme of 'Data Science and Machine Learning'.
2University Website Incharge2017-03-17 to Till DateDesigned, developed new website of University and obtained CERT-In certified security audited certificate.
JOURNAL PAPERS
Ria Jha, Ena Motwani, Nivedita Singhal, and Rishabh Kaushal. Towards Automated Check Worthy Sentence Detection using Gated Recurrent Unit, Journal of Neural Computing and Applications (SCI, IF:5.1). Vol. 35, pp:11337-11357,2023.
Aarti Bala and Rishabh Kaushal. Jaywalking Detection and Localization in StreetScene Videos using Fine-Tuned Convolutional Neural Networks, Journal of Multimedia Tools and Applications (SCIE, IF=2.5). Vol. 83, pp:1-21,2023.
Rishabh Kaushal et al.. Emotional experiences and psychological wellbeing in 51 countries during the COVID-19 pandemic, Emotions (SSCI, IF:5.5). Vol. 24, pp:1-92,2023.
Riya Agarwal, Shaifali Jindal, Shradha Narain, Rishabh Kaushal and Kalpana Yadav . A Novel Framework for Fine-grained Spatio-Temporal Change Detection in Satellite Images , Journal of Multimedia Tools and Applications (SCIE, IF=2.5).2023.
Manmeet Kaur, Priyanka Daryani, Megha Varshney, Rishabh Kaushal. Detection of fake images on whatsApp using socio-temporal features, Social Network Analysis and Mining (Scopus). Vol. 12, pp:1-13,2022.
Siddhi Mishra, Abhigya Verma, Kavita Meena, Rishabh Kaushal. Public reactions towards Covid-19 vaccination through twitter before and after second wave in India, Social Network Analysis and Mining (Scopus). Vol. 12, pp:1-24,2022.
Shivangi Singhal, Rishabh Kaushal, Rajiv Ratn Shah, Ponnurangam Kumaraguru. Fake news in India: scale, diversity, solution, and opportunities, Communications of the ACM (SCI, IF:4.6). Vol. 65, pp:80-81,2022.
Apoorva Dhawan, Malvika Bhalla, Deeksha Arora, Rishabh Kaushal, Ponnurangam Kumaraguru. FakeNewsIndia: A benchmark dataset of fake news incidents in India, collection methodology and impact assessment in social media, Computer Communications (SCI, IF:5.0). Vol. 185, pp:130-141,2022.
Srishti Maheshwari, Shubhangi Aggarwal, and Rishabh Kaushal. A Novel SMS Spam Dataset and Bi-directional Transformer based Short-Text Representations for SMS Spam Detection, Journal of Information and Decision Sciences, Inderscience (Scopus). Vol. 16, pp:1-12,2022.
CONFERENCE PAPERS
Neha Dubey, Rishabh Kaushal. Towards Detection of Cyberbullying in Hinglish Code Mixed Data, In 10th International Conference on Computing for Sustainable Global Development (INDIACom), pages 1096-1100. IEEE, 2023. (Delhi)
Ananya and Rishabh Kaushal. Opinion Detection in Hinglish News Reporting, In International Conference on Advances in Intelligent Computing and Applications (AICAPS), pages 1-4. IEEE, 2023
Anushka Sharma, Rishabh Kaushal. Detecting Hate Speech in Hindi in Online Social Media, In 3rd International Conference on Intelligent Communication and Computational Techniques (ICCT), pages 1-5. IEEE, 2023
Muskan Verma, Nayan Gupta, Bhavishya Tolani, Rishabh Kaushal. Explainable custom cnn architecture for land use classification using satellite images, In Sixth International Conference on Image Information Processing (ICIIP), pages 304-309. IEEE, 2021
Prachi Servanshi, Simran Kaur Bindra, Mansi Gera, Rishabh Kaushal. Covid-19 Detection from CT-scan Images: Empirical Evaluation and Explainability, In Sixth International Conference on Image Information Processing (ICIIP), pages 395-400. IEEE, 2021
Rishabh Kaushal, Shubham Singh, Ponnurangam Kumaraguru. NeXLink: Node Embedding Framework for Cross-Network Linkages Across Social Networks, In International Conference on Network Science (NetSci-X), pages 61-75. Springer, 2020. (Tokyo, Japan)
Rishabh Kaushal, Shubham Gupta, Ponnurangam Kumaraguru. Investigation of biases in identity linkage datasets, In Proceedings of the 35th Annual ACM Symposium on Applied Computing, pages 1861-1868. ACM, 2020. (Brno, Czech Republic)
Rishabh Kaushal, Chetna Sharma, Ponnurangam Kumaraguru. Detection of Misbehaviors in Clone Identities on Online Social Networks, In Mining Intelligence and Knowledge Exploration: 7th International Conference (MIKE), pages 94-103. Springer, 2019. (Goa, India)
Rishabh Kaushal, Vasundhara Ghose, Ponnurangam Kumaraguru. Methods for user profiling across social networks , In Intl Conf on Social Computing (SocialCom), pages 1572-1579. IEEE, 2019. (Xiamen, China)
Shubham Singh, Rishabh Kaushal, Arun Balaji Buduru, Ponnurangam Kumaraguru. KidsGUARD: fine grained approach for child unsafe video representation and detection, In Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, pages 2104-2111. ACM, 2019. (Limassol, Cyprus)
Arushi Gupta, Medha Sagar, Rishabh Kaushal. A Novel Approach to Solve Set-Theory Word Problems Automatically, In Eleventh International Conference on Contemporary Computing (IC3), pages 1-6. IEEE, 2018. (Noida, India)
Swati Sharma and Rishabh Kaushal. Energy Conserving Secure VM Allocation in Untrusted Cloud Computing Environment, In 10th Annual ACM India Compute Conference, pages 73-81. ACM, 2017. (Bhopal, India.)
Ridhima Seth, Rishabh Kaushal. Detection of transformed malwares using Permission Flow Graphs, In IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia), pages 17-21. IEEE, 2017. (Bangalore, India.)
Rishabh Kaushal, Srishti Chandok, Paridhi Jain, Prateek Dewan, Nalin Gupta, Ponnurangam Kumaraguru. Nudging Nemo: Helping Users Control Linkability Across Social Networks, In 9th International Conference on Social Informatics (SocInfo'19), pages 477-490. Springer, 2017. (Oxford, UK.)
Rachayita Giri, Yosha Porwal, Vaibhavi Shukla, Palak Chadha, Rishabh Kaushal. Approaches for information retrieval in legal documents, In Tenth International Conference on Contemporary Computing (IC3), pages 1-6. IEEE, 2017. (Noida, India)
Mona Nandwani, Rishabh Kaushal. Evaluating User Vulnerability to Privacy Disclosures over Online Dating Platforms, In International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, pages 342-353. Springer, 2017. (Turin, Italy)
Priya Dhawan, Gopika Bhardwaj, Rishabh Kaushal. Analysis and Classification of Multi-opinionated Content in the Era of Cyber Activism, In International Conference on Digital Transformation and Global Society, pages 31-44. Springer, 2017. (St. Petersburg, Russia)
Taniya Bhatia, Rishabh Kaushal. Malware detection in android based on dynamic analysis, In International Conference on Cyber Security And Protection Of Digital Services (Cyber Security), pages 1-6. IEEE, 2017. (London, UK)