H. Truong, D.Jaisinghani, S. Jain, A. Sinha, J. Ko, R. Balan.Tracking people across ultra populated indoor spaces by matching unreliable Wi-Fi signals with disconnected video feeds" accepted for publication at Elsevier Pervasive and Mobile Computing Journal 2023
D.Jaisinghani, N. Phutela. Packets-to-Prediction: An Unobtrusive Mechanism for Identifying Coarse-Grained Sleep Patterns with WiFi MAC Layer Traffic" accepted for publication in MDPI Sensors 2023
D.Jaisinghani, Tanzeel Ur Rehman, Ryan Mulkey, Andrew Berns. IoT in the Air: Thread-enabled Flying IoT Network for Indoor Environments. Accepted at The 21st International Conference on Pervasive Computing and Communications (PerCom 2023) - PerSASN Workshop to be held on March 13-18, 2023, Georgia, Atlanta, USA.
N. Phutela, A. N. Chowdary, S. Anchlia, D. Jaisinghani, Goldie Gabrani. Unlock Me: A Real-World Driven Smartphone Game to Stimulate COVID-19 Awareness, International Journal of Human-Computer Studies, 2022.
H. Grover, D. Jaisinghani, N. Phutela, S. Mittal. ML-Based Device-Agnostic Human Activity Detection with WiFi Sniffer Traffic. Accepted at The 14th International Conference on COMmunication Systems & NETworkS - NetHealth Workshop (COMSNETS '22)
K. Sankhe, D. Jaisinghani, and K. Chowdhury.ReLy: Machine Learning for Ultra-Reliable, Low Latency Messaging in Industrial Robots. Accepted to be published at IEEE Communications Magazine 2021.
D. Jaisinghani, R. Balan, V. Naik, Y. Lee, and A. Misra. Experiences & Challenges with Server-Side WiFi Indoor Localization Using Existing Infrastructure [Extended Version]. Published at arXiv'21
D. Jaisinghani, N. Gupta, M. Maity, and V. Naik. Adaptive ViFi: A Dynamic Protocol for IoT Nodes in Challenged WiFi Network Conditions. Accepted at The 17th IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS) 2020.
K. Sankhe, D. Jaisinghani, and K. Chowdhury. CSIscan: Learning CSI for Efficient Access Point Discovery in Dense WiFi Networks. Accepted at The 28th IEEE International Conference on Network Protocols (ICNP) 2020.
G. Reus-Muns, D. Jaisinghani, K. Sankhe, and K. Chowdhury. Trust in 5G Open RANs through Machine Learning: RF Fingerprinting on the POWDER PAWR Platform. Accepted at The IEEE Global Communications Conference (Globecom) 2020.
S.Mohanti, N. Soltani, K. Sankhe, D. Jaisinghani, M. Felice, and K. Chowdhury. AirID: Injecting a Custom RF Fingerprint for Enhanced UAV Identification using Deep Learning. Accepted at The IEEE Global Communications Conference (Globecom) 2020.
S. Sanchez, S. Mohanti, D. Jaisinghani, and K. Chowdhury. Millimeter-wave Base Stations in the Sky: An Experimental Study of UAV-to-Ground Communications. Accepted at The Transactions of Mobile Computing (TMC) 2020.
N. Soltani, K. Sankhe, S. Ioannidis, D. Jaisinghani, and K. Chowdhury. Spectrum Awareness at the Edge: Modulation Classification Using Smartphones. Accepted at The IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN) 2019.
H.Fulara, G.Singh, D.Jaisinghani, M.Maity, T. Chakraborty, and V.Naik. Use of Machine Learning to Detect Causes of Unnecessary Active Scans in WiFi Networks Accepted at The 20th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (IEEE WoWMoM 2019).
D. Jaisinghani, R. Balan, V. Naik, Y. Lee, and A. Misra. Experiences & Challenges with Server-Side WiFi Indoor Localization Using Existing Infrastructure. Accepted at The 15th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (Mobiquitous 2018), New York City, USA, Nov 5-7 2018 [Acceptance Rate: 14%]
D. Jaisinghani, V.Naik, S. Kaul, R. Balan, and S. Roy. Improving the Performance of WLANs by Reducing Unnecessary Active Scans. Published at arXiv '18
D. Jaisinghani, V. Naik, S. Kaul, and S. Roy. Sniffer-based Inference of the Causes of Active Scanning in WiFi Networks. Accepted at The Twenty Third National Conference on Communications (NCC 2017), Madras, India, Mar 2-4 2017 [Acceptance Rate: 30%]
D. Jaisinghani, V. Naik, S. Kaul, and S. Roy. Realtime Detection of Degradation in WiFi Network's Goodput Due to Probe Traffic. Accepted at The Eleventh International Workshop on Wireless Network Measurements and Experimentation (WiNMeE 2015) in conjunction with The 13th International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt 2015), May 25, Mumbai, India. PPT
D. Jaisinghani (2012). Swift - A Low Complexity Protocol for Event & Location Tracking in Wireless Sensor Networks. Ninth IEEE International Conference on Wireless and Optical Communications Networks (WOCN 2012) Next Generation Internet, India, September 2012. Available here.
D. Jaisinghani, V. Naik, and S. Kaul. Empirically derived mechanisms to detect and deal with the cause of performance drop in Wifi networks. Accepted at PhD Forum held in conjunction with The 14th ACM International Conference on Mobile Systems, Applications, and Services (MobiSys'16), on June 26 2016, Singapore
B. Purvis, D. Jaisinghani, S. Diesburg, and H. Rashid. Demo: BubbleNet: Towards developing an IoT-based Physically Distant Classroom For Personal Bubbles. Accepted at The 41st IEEE International Conference on Distributed Computing Systems (ICDCS '21) on July 7 - 10 2021, Washington DC, USA
D. Jaisinghani, G. Singh, H. Fulara, M. Maity, and V. Naik. Demo: Elixir – Efficient Data Transfer in WiFi-based IoT nodes. Accepted at The 24th Annual International Conference on Mobile Computing and Networking (Mobicom '18) on Oct 29 - Nov 2 2018, New Delhi, India
D. Jaisinghani, V. Naik, and S. Kaul. Mechanisms for Detecting and Mitigating Performance Drop in Large Scale WiFi Networks. Accepted at ASSET Symposium held in conjunction with The 14th ACM International Conference on Mobile Systems, Applications, and Services (MobiSys'16), on June 23 - 25 2016, Singapore
D. Jaisinghani, V. Naik, S. Kaul, and S. Roy. Realtime Detection of Degradation in WiFi Network’s Goodput Due to Probe Traffic. Accepted at Women's Workshop held in conjunction with The 14th ACM International Conference on Mobile Systems, Applications, and Services (MobiSys'16), on June 26 2016, Singapore
D. Jaisinghani, V. Naik, S. Kaul, and S. Srikanth. Analyzing Performance of Enterprise Wireless Networks in Presence of Heterogeneous Wireless Networks. Accepted at 1st Xerox Research Centre India (XRCI) Open, Mar 14, 2014, Bangalore, India
D. Jaisinghani (2019) - Understanding the Role of Active Scans for their Better Utilization in Large-scale WiFi Networks. Ph.D. Thesis published with Indraprastha Intitute of Information Technology - Delhi, India, April 2019. Available [Video, Slides, Presentation+Audio, Thesis].
D. Jaisinghani (2012). Swift - A Low Complexity Protocol for Event & Location Tracking in Wireless Sensor Networks. Research Thesis published with International Institute of Information Technology - Bangalore, India, June 2012. Available here.