2024

Abhishek Moitra selected to present his DAC 2024 work on efficient transformers for language and vision at SRC TECHCON 2024. Congratulations Abhishek! - Sept. 2024
Dr. Shuo Li (post-doc from our lab) joins Fudan University as Assistant Professor. Congratulations!. - July 2024
Prof. Panda is an invited speaker at DAC 2024 Workshop on In-Memory Computing to talk about "A CO-DESIGN APPROACH TO EFFICIENT AND DEPLOYABLE IN-MEMORY COMPUTING". - Apr. 2024
R. Yin, A. Moitra, A. Bhattacharjee, Y. Venkatesha secure summer internships at Cerebras Systems, Bell Labs, TSMC, Amazon. Congrats to everyone! - May 2024
Our lab's first Ph.D. graduate!!! Youngeun Kim successfully defends his Ph.D. Congratulations Dr. Kim! Dr. Kim will join Meta Reality Labs as a Research Scientist. - May 2024
Prof. Panda is a visiting faculty at Google DeepMind ". - Apr. 2024
Prof. Panda is a special session speaker at ICASSP 2024 to talk about "Are SNNs truly efficient?- A Hardware Perspective". - Apr. 2024
Prof. Panda is a keynote speaker at VLSI-DAT 2024 to talk about "Neuromorphic Computing for Energy-Efficient Edge Intelligence". - Apr. 2024
Prof. Panda is a special session speaker at Resilient Edge Intelligence in Dynamic Environments session in DATE 2024 to talk about "Hardware-Aware Low-Precision Federated Learning". - Mar. 2024
Prof. Panda is an invited speaker at EE seminar in Harvard University to talk about "On-device Intelligence with Spiking Neural Networks". - Mar. 2024
Prof. Panda is an invited speaker at ECE seminar in Duke University to talk about "Energy-Efficient Intelligence with Neuromorphic Computing: From Algorithms to Hardware Design". - Jan. 2024
Prof. Panda gives a tutorial, and workshop presentation at the VLSID Conference in Kolkata, India to talk about "Energy-Efficient Intelligence with Neuromorphic Computing: From Algorithms to Hardware Design". - Jan. 2024
Prof. Panda is an invited speaker at the VLSID Conference in Kolkata, India to talk about "Rethinking AI Algorithm and Hardware Design with Neuromorphic Computing". - Jan. 2024
Our paper on quantization with spiking networks " receives Best Paper Nomination at at ASP-DAC 2023. Congrats to Ruokai Yin and other authors!- Jan. 2024

2023

Yuhang Li and Tamar Geller presents their paper Efficient Spiking Network Inference " at NeurIPS 2023. - Dec. 2023
Prof. Panda is an invited speaker at the Solid State Technologies and
Devices seminar in UC Santa Barbara to talk about "Rethinking AI Algorithm and Hardware Design with Neuromorphic Computing". - Nov. 2023
Prof. Panda is an invited speaker at the Solid State Technologies and
Devices seminar in UC Berkeley to talk about "Edge Intelligence with Neuromorphic Computing:
From Algorithms to Hardware Design". - Oct. 2023
Prof. Panda is a keynote speaker at the 2023 DARPA ERI Summit to talk about "Computational Needs for Lifelong Learning". - Aug. 2023
Prof. Panda is an invited speaker at IIT Delhi, India to talk about "Rethinking AI Algorithm and Hardware Design with Neuromorphic Computing". - Aug. 2023
Prof. Panda is invited speaker at the 2023 DAC Road4NN Workshop on to talk about "Hardware Accelerators for Spiking Neural Networks for Energy-efficient Edge Computing". - July 2023
Prof. Panda is a keynote speaker at the 2023 ICERM Meeting on Mathematical and Scientific Machine Learning to talk about "Spiking Neural Networks: Opportunities and Challenges". - June 2023
Prof. Panda is a keynote speaker at the 2023 Raytheon Symposium to talk about "Edge Intelligence with Neuromorphic Computing: From algorithms
to hardware design". - June 2023
Prof. Panda is co-organizing a tutorial on Hardware and Software Co-Design for Edge AI at DAC 2023 . - Jul. 2023
Y. Kim and Y. Venkatesha secure summer internships at Amazon Research. Congrats! - 2023
Prof. Panda is organizing a special session on Neuromorphic Computing at Asilomar Conference on Signals, Systems and Computers . - 2023
Prof. Panda is guest editing a special issue on Neuro-AI Learning Systems in IEEE JETCAS . - 2023
Prof. Panda joins the Editorial Board of IEEE Transactions on Cognitive and Developmental Systems . - 2023
T. Geller wins the best senior undergraduate design project award from the EE department for her work with Intelligent Computing Lab. Congrats Tamar! - 2023
T. Geller selected for Mellon Presentation for her project on spiking neural networks. Congrats Tamar! - 2023
Two papers from our group accepted to DAC 2023. Congrats to all! Paper 1 Paper 2
One paper from our group accepted at DATE 2023. Congrats to all authors! Paper
Prof. Panda is organizing a session on "SPIKES" at ICERM 2023 Meeting on Mathematical and Scientific Machine Learning . - June 2023
Prof. Panda is invited to give a talk on Spiking Neural Networks: Opportunities and Challenges at . - June 2023
Prof. Panda is invited to give a talk on Bio-plausible Algorithm-Hardware Co-Design for Efficient and Robust AI at Talk Link. - May 2023
Prof. Panda is invited to give a talk on Bio-plausible Algorithm-Hardware Co-Design with Spiking Neural Networks at Princeton University. - April 2023
Prof. Panda is invited to give a talk on Neuromorphic Computing: Opportunities and Challenges for Edge Intelligence at TU Eindhoven, Netherlands. - April 2023
Prof. Panda is invited to give a talk on Bio-plausible Algorithm-Hardware Co-Design with Spiking Neural Networks at Brown University. - April 2023
Prof. Panda is invited to participate at the German-American Frontiers of Engineering Symposium organized by the National Academy of Engineering and Alexander Humboldt Foundation in Julich, Germany. - March 2023
Prof. Panda is invited to give a talk on Algorithm-Hardware Co-design with Neuromorphic Computing at RWTH Aachen, Germany. - March 2023
Prof. Panda is an Invited Speaker at AAAI 2023 Workshop on Practical Deep Learning In the Wild . - Feb. 2023
Prof. Panda receives the National Science Foundation CAREER Award for research on distributed intelligence with spiking neural networks. - Jan. 2023
Intelligent Computing Lab joins the JUMP2.0 Center for the Co-Design of Cognitive Systems (CoCoSys)for theme Cognition to conduct research on Distributed Intelligence. - Jan. 2023

2022

Prof. Panda serves on the editorial board of Frontiers in Neuroscience.
Prof. Panda and colleagues from Purdue win the IEEE Brain Technical Community Best Paper Award for work on "Neural Computing With Magnetoelectric Domain-Wall-Based Neurosynaptic Devices". Congrats!
Our paper on "Exploring Temporal Information Dynamics in Spiking Neural Networks" is accepted into AAAI 2023. Congrats to all authors!
Prof. Panda is an Invited Speaker at TCS Thought Forum on Neuromorphic Computing . - Dec. 2022
Prof. Panda gives a talk on "Algorithm-Hardware Co-design for Efficient and Robust Spiking Neural Networks" at the SNUFA 2022 . - Nov. 2022
Prof. Panda gives a talk on "Spiking Neural Networks and their relevance to AI" at the Yale Foundations of Data Science Seminar. - Nov. 2022
Prof. Panda gives a talk on "Exploring Robustness and Efficiency in Neural Systems with Spike-based Machine Intelligence" at the 2022 ICCAD HALO Workshop. - Nov. 2022
Prof. Panda gives a talk on "Neuromorphic Computing" at the Yale Foundations of Data Science Launch Event . - Oct. 2022
Prof. Panda presents at the TinyML Neuromorphic Engineering Forum 2022 on "Exploring Robustness and Efficiency in Neural Systems with Spike-based Machine Intelligence". - Sept. 2022
Prof. Panda is a featured panel speaker at the Neuromatch 2022 conference. - Sept. 2022
Prof. Panda receives the 2022 DARPA Riser Award for work in Energy-aware and Robust Distributed Learning for Extreme Edge Efficiency.
Our paper on "Examining the Robustness of Spiking Neural Networks on Non-ideal Memristive Crossbars" received the Best Paper award in ACM/IEEE ISLPED Conference. Congrats to all authors!
Three papers from our group accepted in ECCV 2022. Congrats to all authors and collaborators! Paper 1 Paper 2 Paper 3
Prof. Panda receives the 2022 Google Research Scholar Award for work in Robust and Distributed learning in Spiking Neural Networks in the field of Machine Perception.
Prof. Panda gives a talk on "Exploring Robustness and Efficiency in Neural Systems with Spike-based Machine Intelligence" at the Fuerberg Workshop on Hybrid AI- combining deep learning, symbolic and neuromorphic.-Jul. 2022
Prof. Panda gives a talk on "Exploring Robustness and Efficiency in Neural Systems with Spike-based Machine Intelligence" at Deepmind meeting on spiking networks.-Jun. 2022
Prof. Panda gives a webinar talk on "Exploring Robustness and Efficiency in Neural Systems with Spike-based Machine Intelligence" at Jagiellonian University, Krakow, Poland.-May 2022
Prof. Panda gives a talk on "Towards Energy Efficient and Robust Neuromorphic Computing—Algorithm and Hardware Perspective" at the MRS Symposium on Neuromorphic Computing in Spring 2022.-May 2022
Prof. Panda gives a talk on "Spiking Neural Networks: Learning at scale for Diverse Scenarios" at the Intel Labs INRC Spring 2022 Workshop on Offline Training.-Apr. 2022
Prof. Panda gives a talk on "Rethinking the role of ANN-oriented techniques for Spiking Neural Networks" at the Cold Spring Harbor Labs meeting on "From Neuroscience to Artificial Intelligent Systems".-Apr. 2022
Prof. Panda gives a talk on "Exploring Robustness and Efficiency in Neural Systems with Spike-based Machine Intelligence" at Google meeting on spiking networks.-Mar. 2022
Prof. Panda gives a webinar talk on "Spike based Machine Intelligence" at Columbia University Tech Talk.-Mar. 2022
Prof. Panda gives a webinar talk on "Exploring Robustness in Neural Systems with Spike based Machine Intelligence" at the DoE center for Physics Informed Machine Learning at Pacific NorthWest National Labs.-Mar. 2022
Rachel Sterneck receives NCWIT Collegiate Award Honorable Mention for her work on "Energy Efficient and Adversarially Robust Neural Networks" published in IEEE TCAD 2021. Congrats!
Our paper on "MIME: Adapting a Single Neural Network for Multi-task Inference with Memory-efficient Dynamic Pruning" accepted into DAC 2022.
Our paper on "Rate Coding or Direct Coding: Which One is Better for Accurate, Robust, and Energy-efficient Spiking Neural Networks?" accepted into ICASSP 2022.
Our paper on "Privatesnn: Fully privacy-preserving spiking neural networks" accepted into AAAI 2022.
Two papers from our group - "1) Gradient-based Bit Encoding Optimization for Noise-Robust Binary Memristive Crossbar, 2) Examining and Mitigating the Impact of Crossbar Non-idealities for Accurate Implementation of Sparse Deep Neural Networks" accepted into DATE 2022.
Prof. Panda gives a talk on "Towards Energy Efficient, Interpretable and Robust Neuromorphic Computing: Algorithm and Hardware Perspective" at the WTI Integration Conference.-Jan. 2022
Prof. Panda gives a talk on "Exploring Robustness in Neural Systems with Hardwareaware and Spike-based Machine Intelligence" at the NIST Seminar Series on Artificial Intelligence and Machine Learning.-Jan. 2022
Prof. Panda joins the editorial board of IEEE Embedded System Letters.-Jan. 2022
Prof. Panda is co-editing a focus issue on Algorithms for Neuromorphic Computing for IOPScience Journal.-Jan. 2022

2021

1. Prof. Panda joins DARPA, SRC- sponsored Center for Brain-inspired Computing (C-BRIC)- Jan 2021.

2. Prof. Panda joins the panel for Solving the Challenges of Deep Learning on Neuromorphic Hardware at the INRC Winter Workshop-Feb 2021

3. Two papers from our group -1) Efficiency-driven Hardware Optimization for Adversarially Robust Neural Networks, 2) Activation Density based Mixed-Precision Quantization for Energy Efficient Neural Networks accepted into DATE 2021.

4. Tamar Geller, an undergraduate researcher, in Intelligent Computing Lab wins the 2021 Adobe Research Women-in-Technology Scholarship. Congratulations!!! -March, 2021

5. Keynote by Prof. Panda at Brainstorms Festival on 'Towards Robust and Energy-Efficient Spike Based Machine Intelligence'- March 18, 2021

6. Invited Talk by Prof. Panda at Efficient AI Seminar in Rutger's University on 'Energy-Efficient, Robust and Interpretable Neuromorphic Computing through Algorithm-Hardware Co-Design'- March 30, 2021

7. Prof. Priya Panda is co-organizing a workshop on 'Systems and Architectures for Robust and Safe AI' at ASPLOS, 2021-April 16, 2021

8. Youngeun, Rachel and Tamar, researchers from our group go for summer internships at SAIT, DeepMind and Google, respectively. Congratulations!!-2021

9. Two articles published in Frontiers in Neuroscience have been selected for Neuromorphic Engineering Editor’s Pick List.-2021

10. Prof. Panda joins the panel on Workshop on Parallel AI and Systems on Edge.-May 2021

11. Prof. Panda serves as tutorial co-chair in AICAS.-June 2021

12. Prof. Panda along with collaborators from Purdue University and UMass, Amherst obtain funding for DARPA’s Artificial Intelligence Exploration program on Shared Experience Lifelong Learning. -2021

13. Prof. Panda gives a talk on Towards Deep, Interpretable, and Robust Spiking Neural Networks: Algorithmic Approaches at PennState Center for AI Foundations and Engineered Systems (CAFE) Fireside Chat.-Aug. 2021

14. Prof. Panda will give a talk on "Towards Energy Efficient and Robust Neuromorphic Computing: Algorithm and Hardware Perspective" at Workshop on
Neuromorphic Computing: from Material to Algorithm (NeuMA).-Oct. 2021

15. Prof. Panda will give a talk on Spiking Neural Networks: Algorithmic Advances in ESWEEK 2021.-Oct. 2021

16. Prof. Panda is co-organizing a symposium on Materials and Algorithms for Neuromorphic Computing and Adaptive Bio-Interfacing, Sensing and Actuation at the Materials Research Society Meeting.-Nov. 2021

17. Prof. Panda gives a talk on "Exploring Robustness in Neural Systems with Hardware-aware and Spike-based Machine Intelligence" at the Center for Brain-inspired Computing (C-BRIC)-Joint University Microelectronics Program (JUMP)/SRC e-workshop.-Nov. 2021

18. Prof. Panda will be the session chair for topics on "Beyond Supervised Learning: Approaches for Efficient and Reliable Intelligence" at Design Automation Conference (DAC).-Dec. 2021

19. Prof. Panda will give a talk on "Towards Energy Efficient, Interpretable and Robust Neuromorphic Computing: Algorithm and Hardware Perspective" at the Department of Electronics Engineering Seminar (Virtual), IIT Dhanbad (India), 2021.-Dec. 2021

20. Prof. Panda joins the Neurocomputation and Machine Intelligence center at the Wu Tsai Institute.-2021