Assistant Professor, Faculty of Mathematics and Data Science
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Dr. Sapna Sadhwani
Prof. Dr. Zindoga Mukandavire
Prof. Dr. Kaitano Dube
Dr. Ahlam Mohammed Alzoubi
Dr. Nidhi Chaturvedi
Dr. Zara Canbary
Dr. Evangelia Pantelaki
Dr. Wasim Ahmad
Dr. Sevda Ahmadian
Dr. Crystal Ioannou
Dr. Annamalai Chockalingam
Ronak J Lad
Elif Ranclaud
Dr. Muneer Jahwash
Dr. Petr Svoboda
Dr. Bhavana Rajeev
Dr. Baha Mohsen
Dr. Georgina Farouqa
Omar Chafic
Dr. Elham Tolouei
Dr. Anju Anna Jacob
Dr. Walid Abou Hweij
Eng. Ajit Yesodharan
Eng. Manuel Abong
Eng. Shirley Fernandes
Mohamed Zouhir
Prof. Dr. Hossein Zare-Behtash
Dr. Afaq Altaf
Dr. Ehsaneh Essen Etemadi
Prof. Hannah Al Ali
Prof. Alireza Daneshkhah
Dr. Mostafa Kamil
Dr. Muner Mustafa Abou Hasan
Dr. Thomas Mgonja
Dr. Blessy Trencia Lincy
Dr. Deepudev Shahadevan
Dr. Mohammad Abu Zaytoon
Dr. Rfaat Soliby
Dr. Zainab Rasheed
Dr. Rukshanda Kamran
Mawada Tawfik
Riham Arab
Dr. Mahmoud Alkhouli
Prof. Dr. Daoud Hilal
Dr. Abdulkarim H. Ibrahim
Dr. Disha Kaur Phull
Dr. Raja’a Al-Naimi
Dr. Seyed R. Mousavi
Assistant Professor, Faculty of Mathematics and Data Science
Dr. Sapna Sadhwani is an Assistant Professor with over nine years of experience in teaching and research. She holds a PhD (2025) with title "Enhancing IoT Security against DDoS Attacks using Machine Learning Techniques ", where her research focused on leveraging Artificial Intelligence and Machine Learning techniques to defend IoT networks against DDoS and botnet attacks. She completed her M. Tech in Computer Science and Engineering in 2014 and B.Tech in 2012. Currently she is serving as an Assistant Professor in the Department of Mathematics and Data Science at Emirates Aviation University, Dubai, UAE. Prior to her current role, she served at BITS Pilani, Dubai Campus—initially as a Lecturer and later promoted to Assistant Professor. Additionally, she served as a Lecturer at Mody University, India (2012-2015). Her academic journey has been deeply rooted in cybersecurity, AI, machine learning, deep learning, explainable AI, and network security. She has published extensively in high-impact Q1 journals and top-tier international conferences, and her work has received global recognition through citations and invited roles. She has served as Session Chair for several international conferences and also contributed as the Conference Chair for an annual international conference organized by her institution. Passionate about teaching, mentoring, and interdisciplinary research, she strive to bridge theory with real-world applications while guiding students toward innovation, critical thinking, and impactful research.
PhD title "Enhancing IoT Security against DDoS Attacks using Machine Learning Techniques" Department of Computer Science, Birla Institute of Technology and Science, Dubai campus Aug 2020 - 9th June 2025
M.Tech. in Computer Science and Engineering 8.63 CGPA (First class with A+ in dissertation title "Public Key Infrastructure (PKI) in Web application") Department of Computer Science, Mody University of Science and Technology Rajasthan, India 2012-2014
B.Tech. in Computer Science and Engineering 7.96 CGPA (First class) Department of Computer Science, Mody University of Science and Technology Rajasthan, India 2008-2012
Object Oriented Programming
Data Structures & Algorithm
Database Systems
Computer Network
Security
Artificial Intelligence
Security, IoT Networks
Network Security
Intrusion Detection
Artificial Intelligence
Machine Learning
Deep Learning
Computer Vision
Explainable AI
GenAI
Sapna Sadhwani, Navare, A., Mohan, A., Muthalagu, R. and Pawar, P.M., "IoT-based intrusion detection system using explainable multi-class deep learning approaches", Computers and Electrical Engineering, 123, p.110256, 2025
ViewSapna Sadhwani, Sriwastawa, A., Muthalagu, R. and Pawar, P.M., "Feature engineering based intelligent intrusion detection system for IoT network security", International Journal of Machine Learning and Cybernetics, pp.1-25, 2025. Doi:10.21203/rs.3.rs-3961151/v1 (Q2, IF:3.1) SPRINGER NATURE
Sapna Sadhwani, Urvi Kavan Modi, Raja Muthalagu, Pranav M. Pawar, Alavikunhu Panthakkan, and Wathiq Mansoor. "IoT BotScan: Ultra-Lightweight AI Defense Against Botnet Threats", IEEE Access, vol. 13, 2025.
ViewSapna Sadhwani, Mohammed Abdul Hafeez Khan, Raja Muthalagu, Pranav Pawar, and K. Suresh. "A Hybrid BiLSTM-CNN Approach for Intrusion Detection for IoT Applications.", Scientific Reports
ViewSapna Sadhwani, Alan Mohan, Ameya Navare, Raja Muthalagu, and Pranav Pawar. "xAIL-ID: Explainable AI-based LSTM model for Intrusion Detection for the Internet of Things.", Cyber Security and Applications (Revision Submitted), 2025
Sapna Sadhwani, U. K. Modi, Raja Muthalagu, and P. M. Pawar, "SmartSentry: Cyber Threat Intelligence in Industrial IoT" in IEEE Access, vol. 12, pp. 34720-34740, 2024.
ViewSapna Sadhwani, Mathur, A., Muthalagu, R. and Pawar, P.M., “5G-SIID: an intelligent hybrid DDoS intrusion detector for 5G IoT networks”. International Journal of Machine Learning and Cybernetics, Volume 16, pages 1243–1263, 2024, Springer
ViewSapna Sadhwani, Arjun Harish, Raja Muthalagu, and Pranav M. Pawar. "A Lightweight Model for Detecting Cyberthreats Using Machine Learning Techniques." In 2024 Advances in Science and Engineering Technology International Conferences (ASET), United Arab Emirates, pp. 01-07. IEEE, 2024 doi: 10.1109/ASET60340.2024.10708693.
Sapna Sadhwani, Nivedita Ajit, Raja Muthalagu, and Pranav Pawar. "An Efficient and Smart Botnet Attack Detection Model for IIoT 4.0" In 4th International Conference on Artificial Intelligence and Signal Processing (AISP). IEEE, 2024. doi: 10.1109/AISP61711.2024.10870698
Sapna Sadhwani, Baranidharan Manibalan, Raja Muthalagu, and Pranav Pawar. 2023. "A Lightweight Model for DDoS Attack Detection Using Machine Learning Techniques" Applied Sciences 13, no. 17: 9937.
ViewSapna Sadhwani, A. Verma, Raja Muthalagu and P. M. Pawar, "Network Intrusion Detection: A Study on Various Learning Approaches," 2023 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE), Dubai, United Arab Emirates, pp. 161-166. IEEE, 2023. doi: 10.1109/ICCIKE58312.2023.10131701 (Scopus)
S. Kalpesh Patel, Sapna Sadhwani, Raja Muthalagu and P. Mothabhau Pawar, "Deep Learning Based Intrusion Detection Systems Techniques in IoT - Survey," 2023 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE), Dubai, United Arab Emirates, 2023, pp. 53-58. doi: 10.1109/ICCIKE58312.2023.10131739. (Scopus)
Srikanth, K., Sapna Sadhwani, Urolagin, S. (2022). “MRI Cardiac Images Segmentation and Anomaly Detection Using U-Net Convolutional Neural Networks. In: Verma, P., Charan, C., Fernando, X., Ganesan, S. (eds)” Advances in Data Computing, Communication and Security. Lecture Notes on Data Engineering and Communications Technologies, vol 106. Springer, Singapore.
ViewPraveen Thachappully Adithya, Raja Muthalagu, and Sapna Sadhwani. 2020. Genesis Net: Fine Tuned Dense Net Configuration using Reinforcement Learning. In 2020 4th International Conference on Artificial Intelligence and Virtual Reality (AIVR2020). Kumamoto, Japan, 46–50. DOI:10.1145/3439133.3439139 (SCOPUS)
Sapna Sejwani, Prema K.V, Ms. Sarvesh Tanwar, “Implementation of Triple RSA”, International Journal of Engineering Sciences and Research Technology (IJESRT), ISSN: 2277-9655, Volume 2, Issue 5, May 2014. Scientific Journal Impact Factor: 3.449, ISRA (IF: 1.852)
Sapna Sejwani, Sarvesh Tanwar, “Implementation of Hierarchical Trust Model in PKI”, IEEE National Conference on Computing and Infomatics, 2015 organized by Mody University of Science and Technology, Lakshmangarh, India 2-3rd December 2015.
Sapna Sejwani, “Pattern Recognition Using Artificial Neural Networks”, International Conference on Innovative Trends in Information Technologies and Computing Sciences for Competitive World Order organized by Krishi Sanskriti, J.N.U, New Delhi, 2-3rd March, 2013.
Sapna Sejwani, “Mathematics in Cryptography”, National Conference on Recent Trends in Mathematical Sciences and Their Applications, organized by Mody University of Science and Technology, Lakshmangarh, India 5-6th November, 2012