Conference Contributions

2021

• Batista, S. F. A., Cantelmo, G., Menendez, M., & Antoniou, C. (2021). On the calculation of a virtual set of trips for the calibration of aggregated traffic models. 100th Transportation Research Board Annual Meeting (TRB), Washington D.C., January 2021.

• Batista, S. F. A., Cantelmo, G., Paipuri, M., Leclercq, L., Menendez, M., & Antoniou, C. (2021). Activity-based dynamic traffic assignment on regional networks and aggregated traffic models. International Symposium on Dynamic Traffic Assignment (DTA), Seattle, June 2021.

• Hannoun, G. J., & Menendez, M. (2021). Modular technology for emergency medical services. 100th Transportation Research Board Annual Meeting (TRB), Washington D.C., January 2021.

• Kim, S., Menendez, M., & Yeo, H. (2021). Methodology to increase the flexibility in inter-region flow control for urban traffic. 100th Transportation Research Board Annual Meeting (TRB), Washington D.C., January 2021. 

• Marchisio, A., Pira, G., Martina, M., Masera, G., & Shafique, M. (2021). R-snn: An analysis and design methodology for robustifying spiking neural networks against adversarial attacks through noise filters for dynamic vision sensors. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Prague, September 2021.

• Marchisio, A., Pira, G., Martina, M., Masera, G., & Shafique, M. (2021). Dvs-attacks: Adversarial attacks on dynamic vision sensors for spiking neural networks. IEEE International Joint Conference on Neural Networks (IJCNN), Shenzhen, July 2021.

• Putra, R. V. W., Hanif, M. A., & Shafique, M. (2021). SparkXD: A framework for resilient and energy-efficient spiking neural network inference using approximate DRAM. IEEE/ACM 58th Design Automation Conference (DAC), San Francisco, July 2021.

• Putra, R. V. W., & Shafique, M. (2021). SpikeDyn: A framework for energy-efficient spiking neural networks with continual and unsupervised learning capabilities in dynamic environments. IEEE/ACM 58th Design Automation Conference (DAC), San Francisco, December 2021.

• Thodi, B. T., Khan, Z. S., Jabari, S. E., & Menendez, M. (2021) Anisotropic kernels for deep convolutional neural network-based traffic speed reconstruction. 100th Transportation Research Board Annual Meeting (TRB), Washington D.C., January 2021.

• Tilg, G., Ambuhl, L., Batista, S. F. A., Menendez, M., Leclercq, L., & Busch, F. (2021) Semi-analytical estimation of macroscopic fundamental diagrams: From corridors to networks. 100th Transportation Research Board Annual Meeting (TRB), Washington D.C., January 2021.

• Viale, A., Marchisio, A., Martina, M., Masera, G., & Shafique, M. (2021) CarSNN: An efficient spiking neural network for event-based autonomous cars on the loihi neuromorphic research processor. IEE International Joint Conference on Neural Networks (IJCNN), Shenzhen, July 2021.

2020

• Benkrouda, O., Thodi, B. T., Yeo, H., Menendez, M., & Jabari, S. E. G. (2020). Traffic state reconstruction using deep convolutional neural networks. 99^th Transportation Research Board Annual Meeting (TRB). Washington D.C., January 2020.

• Batista, S. F. A., Cantelmo, G., Menendez, M., & Antoniou, C. (2020). The calculation of the virtual set of trips for the calibration of aggregated traffic models. 3rd Symposium on Management of Future Motorway and Urban Traffic Systems (MFTS), Luxembourg, July 2020.

• Batista, S. F. A., Ingole, D., Leclercq, L., & Menendez, M. (2020). The role of trip lengths in perimeter control strategy, 99^th Transportation Research Board Annual Meeting (TRB), Washington D.C., January 2020.

• Batista, S. F. A. & Menendez, M. (2020). The ecologically friendly paths on regional networks. Encontro do Grupo de Estudos em Transportes (GET), Covilhã, February 2020.

• Batista, S. F. A., Leclercq, L., & Menendez, M. (2020). Regional dynamic traffic assignment framework with time-dependent trip lengths, 99^th Transportation Research Board Annual Meeting (TRB), Washington D.C., January 2020.

• Brucato, M., Yadav, N., Abouzied, A., Haas, P. J., & Meliou, A. (2020). Stochastic package queries in probabilistic databases. ACM SIGMOD International Conference on Management of Data, Portland, June 2020.

• Hay, R., Singh, I., & Celik, K. (2020). Synthesis of brucite from reject brine and its direct carbonation for possible use as construction material. Goldschmidt, Virtual, June 2020.

• Hay, R., & Celik, K. (2020). Accelerated carbonation of reactive MgO cement (RMC)-based composite for potential industrial application. Advanced Materials for Sustainable Infrastructure Development, Gordon Research Conference, Ventura, February 2020.

• Hay, R., & Celik, K. (2020). Performance and characterization of limestone calcined clay cement (LC3) with low reactivity clay and limestone of different particle sizes. Limestone Calcined Clay Cements (LC3) Information Day, Abu Dhabi, February 2020.

• Genser, A., Ambühl, L., Yang, K., Menendez, M., & Kouvelas, A. (2020). Time-to-Green predictions: A framework to enhance SPaT messages using machine learning. IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC), Rhodes, September 2020.

• Krishna, S., Patel, N., Shasha, D., & Wies, T. (2020). Verifying concurrent search structure templates. 41st ACM SIGPLAN Conference on Programming Language Design and Implementation, London, June 2020.

• Li, L., Lin, D., & Jabari, S. E. (2020). A user-based charge and subsidy scheme for single OD network mobility management. IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC), Rhodes, September 2020.

• Li, W., Yang, C., & Jabari, S. E. (2020). Short-term traffic forecasting using high-resolution traffic data. IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC), Rhodes, September, 2020.

• Lin, D., & Jabari, S. E. (2020). Comparative analysis of economic instruments in intersection operation: A user-based perspective. IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC), Rhodes, September, 2020.