| A terahertz optical asymmetric demultiplexer (TOAD) JP Sokoloff, PR Prucnal, I Glesk, M Kane IEEE Photonics Technology Letters 5 (7), 787-790, 1993 | 908 | 1993 |
| Machine learning for estimation of building energy consumption and performance: a review S Seyedzadeh, FP Rahimian, I Glesk, M Roper Visualization in Engineering 6, 1-20, 2018 | 480 | 2018 |
| Optical code division multiple access: fundamentals and applications PR Prucnal CRC press, 2018 | 413 | 2018 |
| Tuning machine learning models for prediction of building energy loads S Seyedzadeh, FP Rahimian, P Rastogi, I Glesk Sustainable Cities and Society 47, 101484, 2019 | 221 | 2019 |
| Demonstration of all-optical demultiplexing of TDM data at 250 Gbit/s I Glesk, JP Sokoloff, PR Prucnal Electronics letters 30 (4), 339-341, 1994 | 217 | 1994 |
| A widely tunable narrow linewidth semiconductor fiber ring laser D Zhou, PR Prucnal, I Glesk IEEE Photonics Technology Letters 10 (6), 781-783, 1998 | 214 | 1998 |
| All-optical data format conversion between RZ and NRZ based on a Mach-Zehnder interferometric wavelength converter L Xu, BC Wang, V Baby, I Glesk, PR Prucnal IEEE Photonics Technology Letters 15 (2), 308-310, 2003 | 176 | 2003 |
| All-optical address recognition and self-routing in a 250 Gbit/s packet-switched network I Glesk, JP Solokoff, PR Prucnal Electronics letters 30 (16), 1322-1323, 1994 | 174 | 1994 |
| Machine learning modelling for predicting non-domestic buildings energy performance: A model to support deep energy retrofit decision-making S Seyedzadeh, FP Rahimian, S Oliver, S Rodriguez, I Glesk Applied Energy 279, 115908, 2020 | 149 | 2020 |
| Comparison of Sagnac and Mach–Zehnder ultrafast all-optical interferometric switches based on a semiconductor resonant optical nonlinearity KI Kang, TG Chang, I Glesk, PR Prucnal Applied Optics 35 (3), 417-426, 1996 | 134 | 1996 |
| Performance of a 50 Gbit/s optical time domain multiplexed system using a terahertz optical asymmetric demultiplexer JP Sokoloff, I Glesk, PR Prucnal, RK Boncek IEEE Photonics Technology Letters 6 (1), 98-100, 1994 | 134 | 1994 |
| Comparison of adaptive neuro-fuzzy inference system (ANFIS) and Gaussian processes for machine learning (GPML) algorithms for the prediction of skin temperature in lower limb … N Mathur, I Glesk, A Buis Medical engineering & physics 38 (10), 1083-1089, 2016 | 126 | 2016 |
| Subwavelength grating filtering devices J Wang, I Glesk, LR Chen Optics express 22 (13), 15335-15345, 2014 | 116 | 2014 |
| Subwavelength grating enabled on-chip ultra-compact optical true time delay line J Wang, R Ashrafi, R Adams, I Glesk, I Gasulla, J Capmany, LR Chen Scientific reports 6 (1), 30235, 2016 | 114 | 2016 |
| Observation of temporal vector soliton propagation and collision in birefringent fiber D Rand, I Glesk, CS Brès, DA Nolan, X Chen, J Koh, JW Fleischer, ... Physical review letters 98 (5), 053902, 2007 | 107 | 2007 |
| Data driven model improved by multi-objective optimisation for prediction of building energy loads S Seyedzadeh, FP Rahimian, S Oliver, I Glesk, B Kumar Automation in Construction 116, 103188, 2020 | 93 | 2020 |
| Unbalanced TOAD for optical data and clock separation in self-clocked transparent OTDM networks KL Deng, I Glesk, KI Kang, PR Prucnal IEEE Photonics Technology Letters 9 (6), 830-832, 1997 | 90 | 1997 |
| A novel fast optical switch based on two cascaded terahertz optical asymmetric demultiplexers (TOAD) BC Wang, V Baby, W Tong, L Xu, M Friedman, RJ Runser, I Glesk, ... Optics Express 10 (1), 15-23, 2002 | 87 | 2002 |
| Asymmetric optical loop mirror: analysis of an all-optical switch MG Kane, I Glesk, JP Sokoloff, PR Prucnal Applied optics 33 (29), 6833-6842, 1994 | 86 | 1994 |
| Experimental demonstration and scalability analysis of a four-node 102-Gchip/s fast frequency-hopping time-spreading optical CDMA network V Baby, I Glesk, RJ Runser, R Fischer, YK Huang, CS Bres, WC Kwong, ... IEEE Photonics Technology Letters 17 (1), 253-255, 2004 | 84 | 2004 |
Paul R. PrucnalProfessor of Electrical Engineering, Princeton UniversityVerified email at princeton.edu
