Students Registered for ECEN 681 CESG Seminar
To receive the full credit for this course, you must meet the following requirements:
You may miss up to 3 seminars. You are responsible for attending seminars whenever they are scheduled.
Complete and submit a brief report for all seminars via the course Canvas page. The report is due by the end of the day on the day after the seminar. The report should be brief while highlighting the key points from each seminar.
Most/All seminars will be recorded. If you cannot attend a seminar, you must watch the video for the seminar and turn in a report for the seminar in question.
Fall 2024
Organizer: Dr. Narasimha Reddy (reddy@tamu.edu)
Time: Fridays, 10:20 a.m. – 11:10 a.m.
Location: ETB 1020 (no Zoom option)
- Aug. 23, “Autonomy in the Wild: Perception and Control for Off-Road Autonomous Vehicles”, Dr. Srikanth Saripalli, Dept. of Mechanical Engineering & Director of CANVASS, Texas A&M University; Recording
- Aug. 30, “Sensing and Modeling for Personalized Cardiovascular Digital Health”, Dr. Bobak Mortazavi, Dept. of Computer Science & Engineering, Texas A&M University
- Sept. 6, “Structured Reinforcement Learning in NextG Cellular Networks“, Dr. Shakkottai, Dept. of Electrical and Computer Engineering, Texas A&M University
- Sept. 13, “BaM: System Architecture and Software Stack for Accelerating Compute-Directed Access to Massive Datasets”, Dr. Wen-mei W. Hwu, Senior Director of Research at NVIDIA and Professor Emeritus, University of Illinois, Urbana-Champaign
- Sept. 20, “Using Generative AI Technology to Transform Customer Support Services”, Dr. Haris Pozidis, Scientist & Manager of Infrastructure AIOPS, IBM Zurich, Switzerland
- Sept. 27, “Neural Inference at the Frontier of Energy, Space, and Time”, Dr. Pallab Datta, Senior Research Scientist, Brain-Inspired Computing, IBM California
- Oct. 4, “Harnessing the Power of Large Language Models“, Dr. Li-C. Wang, Electrical and Computer Engineering, University of California, Santa Barbara
- Oct. 11, “Leveraging Deep Learning to Understand Users’ Views about Privacy“, Dr. Nina Taft, Principal Scientist / Director at Google; Recording
- Oct. 18, “Planning and Control Problems in Robotics for Manufacturing Operations”, Dr. Prabhakar R. Pagilla, Mechanical Engineering, Texas A&M University
- Oct. 25, “Designing Emerging Computing Systems with Ferroelectric Devices”, Dr. Vijay Narayanan, Dept. of Computer Engineering & Electrical Engineering, Penn Statue University
- Nov. 1, “Data-Driven IO Modeling and Optimizations in Cluster Storage Systems”, Dr. Saurabh Kadekodi, Senior Research Scientist in Storage Analytics at Google; Recording
- Nov. 8, “Distributed No-Regret Learning for Multi-Stage Systems with End-to-End Bandit Feedback”, Dr. I-Hong Hou, Electrical and Computer Engineering, Texas A&M University; Recording
- Nov. 15, “Data-Driven Agriculture to Sustainably Nourish the World”, Dr. Ranveer Chandra, General Manager for M365
Chief Technology Officer of Agri-Food at Microsoft - Nov. 22, “Generative AI for Chip Design and EDA: Everything, Everywhere, All at Once?”, Dr. David Pan, Electrical and Computer Engineering, University of Texas, Austin
Spring 2024
Organizer: Dr. Narasimha Reddy (reddy@tamu.edu)
Time: Fridays, 10:20 a.m. – 11:10 a.m.
Location: ETB 1020 (no Zoom option)
- Jan. 19, “Systems and Machine Learning Research for application in Digital Agriculture”, Dr. Kevin Nowka, Dept. of Electrical and Computer Engineering at Texas A&M University; No recording
- Jan. 26, “Efficient, Robust, and Heterogeneous Compute-in-Memory For Edge Intelligence”, Wantong Li, Georgia Institute of Technology; No recording
- Feb. 2, “Chip Power Modeling and Physical Optimization Techniques“, Dr. Jiang Hu, Dept. of Electrical and Computer Engineering at Texas A&M University; Recording
- Feb. 9, “Curved Beams, Flying Metasurfaces, and Emerging Capabilities for 6G”, Dr. Edward Knightly, Dept. of Electrical and Computer Engineering, Rice University; Recording
- Feb. 23, “Revisiting Memory Hierarchy Management in the GPU Context”, Dr. Anand Sivasubramaniam, Dept. of Computer Science and Engineering, Pennsylvania State University; Recording
- March 1, “Thoughts on Large Language Models: Data Efficiency, Bias, and Long-Tails“, Dr. James Caverlee, Dept. of Computer Science and Engineering, Texas A&M University; Recording
- March 22, “AI for Science”, Dr. Alok Nidhi Choudhary, Dept. of Electrical and Computer Engineering and Computer Science, Northwestern University; Recording
- April 5, “A 6-Word Story on the Future of Infrastructure: AI-Driven, Software-Defined, Uncomfortably Exciting“, Parthasarathy (Partha) Ranganathan, VP/Technical Fellow at Google; No recording
- April 12, “Keeping Customers Happy (and Safe)! Designing Circuits to Enhance Defect Detection and Avoid Errors and Silent Data Corruption”, Dr. Jennifer Dworak, Dept. of Computer Science and Engineering, Southern Methodist University; No recording
- April 19, “Robot Planning Near the Boundaries of Feasibility” Dr. Jason O’ Kane, Dept. of Computer Science and Engineering at Texas A&M University; No recording
Fall 2023
Organizer: Dr. Narasimha Reddy (reddy@tamu.edu)
Time: Fridays, 10:20 a.m. – 11:10 a.m.
Location: ETB 1020 (no Zoom option)
- Sept. 1, “Flash – the ‘Overlooked’ Technology”, Sunil Khatri, Dept. of Electrical and Computer Engineering at Texas A&M University; no recording
- Sept. 8, “Security of Cyber-Physical Systems: Theory and Applications of the Dynamic Watermarking Method”, P. R. Kumar, Dept. of Electrical and Computer Engineering at Texas A&M University; Recording
- Sept. 15, “AI for Science in Quantum, Atomistic, and Continuum Systems”, Shuiwang Ji, Dept. of Electrical and Computer Engineering at Texas A&M University; no recording
- Sept. 22, “How We pre-Trained GPT/LLM Models from Scratch on a CPU-Only Cluster: Democratizing the GenAI Ecosystem with Algorithms and Dynamic Sparsity”, Anshumali Shirvastava, Dept. of Computer Science at Rice University; Recording
- Sept. 25, “The Migratable Objects Parallel Programming Model: Successes and Prospects”, Laxmikant (Sanjay) Kale , University of Illinois at Urbana-Champaign; no recording
- Oct. 6, “Next-generation Storage Systems for Big Data”, Bingzhe Li, Dept. of Computer Science, University of Texas at Dallas; Recording
- Oct. 13, “Research Directions in Google Storage”, Arif Merchant, Research Scientist, Google; Recording
- Oct. 20, “Analog In-Memroy Computing for Deep Learning Interface”, Abu Sebastian, Distinguished Scientist and Manager, IBM Research Group; no recording
- Oct. 27, “The New AI Computing Stack”, Doug Burger, Technical Fellow, Microsoft; Recording
- Nov. 3, “Congestion Control in The Real World“, Neal Cardwell, Principal Software Engineer, Google; no recording
- Nov. 10, “Future of Data Science: HPC+AI+Beyond-Moore”, Dr. Neena Iman, Southern Methodist University; no recording
- Nov. 17, “Hardware Fuzzing — Why? What? How?”, JV Rajendran, Associate Professor, Department of Electrical and Computer Engineering, Texas A&M University; Recording
- Dec. 1, “Pushing the Limits of Scaling Laws in the Age of Large Language Models”, Azalia Mirhoseini, Asst. Professor, Department of Computer Science, Stanford University; Recording
Spring 2023
Organizer: Dr. Srinivas Shakkottai (sshakkot@tamu.edu)
Time: Fridays, 3:50 p.m. – 4:50 p.m.
Location: ETB 1020 / Zoom: https://tamu.zoom.us/j/93347193479
Please contact Dr. Shakkottai for the password.
- Jan. 27, ETB 1020 @ 11:30 a.m. – 12:30 p.m., JOINT w/ ECE: “Coherence Attacks and Defenses in 2.5D Integrated Systems”, Paul Gratz, Dept. of Electrical and Computer Engineering at Texas A&M University; Recording
- Feb. 3, ETB 1020: “An Overview of Wireless Communication, Sensing and IoT Research Projects at Texas Wireless Lab (TWL)”, Sabit Ekin, Dept. of ETID and affiliated with ECE, Texas A&M University; Recording
- Feb. 10, ETB 1020: “Machine Learning for EDA and EDA for Machine Learning”, Jiang Hu, Dept. of Electrical and Computer Engineering, Texas A&M University; Recording
- Feb. 17, ETB 1020 @ 11:30 a.m. – 12:30 p.m., JOINT w/ ECE: “‘Quantum Supremacy’ Challenged: Low-Complexity, Deterministic Solutions of the Original Deutsch-Jozsa Problem by Classical Physical Noise-Based Logic“, Laszlo B. Kish, Dept. of Electrical and Computer Engineering, Texas A&M University; No recording
- Feb. 24, ETB 1020: “Advances in Computer Engineering: Impact on Aerospace Applications”, Manoranjan Majji, Dept. of Aerospace Engineering, Texas A&M University; Recording
- March 10, ETB 1020 @ 11:30 a.m. – 12:30 p.m., JOINT w/ ECE: Kaushik Chowdhury, Dept. of Electrical and Computer Engineering, Northeastern University (Boston)
- March 24, ZOOM: “Enhancing Reinforcement Learning Using Data and Structure“, Desik Rengarajan, CE PhD Candidate Spring 2023, Dept. of Electrical and Computer Engineering, Texas A&M University; Recording
- March 31, ZOOM: “Constrained Reinforcement Learning for Wireless Networks“, Archana Bura , CE PhD Candidate Spring 2023, Dept. of Electrical and Computer Engineering, Texas A&M University; Recording
- April 14, ZACH: CESG Poster Event by Advisees of CESG professors: https://cesg.tamu.edu/poster_2023/
- April 21, Zoom: “CHARM: Composing Heterogeneous AcceleRators for Matrix Multiply on Versal ACAP Architecture“, Dr. Peipei Zhou, Dept. of Electrical and Computer Engineering, University of Pittsburgh; No Recording
- April 28, ETB 1020: “Reinforcement Learning for Hardware Security“, Vasudev Gohil, CE PhD Student, Dept. of Electrical and Computer Engineering, Texas A&M University; No Recording
Fall 2022
Organizer: Dr. Srinivas Shakkottai (sshakkot@tamu.edu)
Time: Fridays, 10:20 a.m. – 11:10 a.m.
Location: ETB 1020 / Zoom: https://tamu.zoom.us/j/93347193479
Please contact Dr. Shakkottai for the password.
- Sept. 1, Friday, 10:20 a.m., ETB 1020: “Statistical Texture Feature Learning for Image Analysis”, Joshua Peeples, Dept. of ECE, Texas A&M University; Recording
- Sept. 9, Friday, 10:20 a.m., Zoom: “Modeling Risk in Power System Operations and Planning“, Subhonmesh Bose, Dept. of ECE, University of Illinois, Urbana Champaign; Recording
- Sept. 16, Friday, 10:20 a.m., Zoom: “Millimeter-Wave Joint Communication and Sensing and Location-based Network Control“; Joerg Widmer, IMDEA Labs, Spain. Recording
- Sept. 23, Friday, 10:20 a.m., ETB 1020: “Intelligent Data Storage Systems for Cyber-Security, Extreme-Reliability and Edge-Computing“, Biswajit Ray, Dept. of ECE, University of Alabama in Huntsville. Recording
- Sept. 30, Friday, 10:20 a.m., Zoom: “Cloud Velocity Networking: How We Got Here and Where We’re Headed“, Aditya Akella, Dept. of CSE, UT Austin. Recording
- Oct. 7, Friday, 10:20 a.m. ETB 1020: “Automatic Dependent Surveillance—Broadcast (ADS-B): A Major Aviation System’s Conception, Development, and Operational Implementation“, George Ligler, Dept. of Multidisciplinary Engineering, TAMU. Recording
- Oct. 14, Friday, 10:20 a.m., Zoom: “Approximate Planning and Learning for Partially Observed Systems“, Aditya Mahajan, Dept. of ECE, McGill University. Recording
- Oct. 21, Friday, 10:20 a.m., Zoom: “Scalability in Low Power Wide Area Networks”, Bhuvana Krishnaswamy, Dept. of ECE, University of Wisconsin at Madison. Recording
- Oct. 28, Friday, 10:20 a.m., Zoom, “Reinforcement Learning with Robustness and Safety Guarantees”, Dileep Kalathil, Dept. of ECE, TAMU. Recording
- Nov. 4, Friday, 10:20 a.m. ETB 1020: “Scalable and Learned Algorithms for Discrete Optimization”, Alan Kuhnle, Dept. of CSE, TAMU. Recording
- Nov. 11, Friday, 10:20 a.m., Zoom: “Mitigating the Risk Associated with Epistemic and Aleatory Uncertainties in MDPs”, Mohammad Ghavamzadeh, Google Inc. Recording
- Nov. 18, Friday, 10:20 a.m., ETB 1020: “The Power of Adaptivity in Representation Learning: from Meta-Learning to Federated Learning”, Sanjay Shakkottai, University of Texas at Austin. Recording
Spring 2022
Organizer: Dr. Srinivas Shakkottai (sshakkot@tamu.edu)
Time: Fridays, 4:10 p.m. – 5:10 p.m.
Location: ETB 1020 / Zoom: https://tamu.zoom.us/j/96343481647
- Jan. 21, Friday, 4:10 p.m., ETB 1020: “Waymo Self-Driving: An Overview”, Craig Robinson, Waymo, no recording
- Jan. 28, Friday, 4:10 p.m., Zoom: “Algorithm and Hardware Co-Design for Efficient Deep Learning: Sparse and Low-rank Perspective“, Bo Yuan, Rutgers University, Recording
- Feb. 4, Friday, 4:10 p.m., Zoom: “AI/ML Frameworks and Advanced Computing Resources to Accelerate Research at Texas A&M’s High Performance Research Computing (HPRC) Facility“, Lisa Perez, Texas A&M University, Recording
- Feb. 11, Friday, 4:10 p.m., Zoom: “Wireless Sensing Meets Autonomous Systems: Deployable Low-Overhead RF Localization and Mapping“, Dinesh Bharadia, Univ. of California San Diego, no recording
- Feb. 18, Friday, 4:10 p.m., Zoom: “Tackling Computational Heterogeneity in Federated Learning“, Gauri Joshi, Carnegie Mellon University, Recording
- Feb. 25, Friday, 4:10 p.m., Zoom: “Online Optimization and Control Using Black-Box Predictions“, Adam Wierman, Caltechm, Recording
- March 4, Friday, 4:10 p.m., Zoom: “Toward AI-based Control and Orchestration in the Open RAN: Architectures, Algorithms, Testbeds“, Tommaso Melodia, Northeastern University, Recording
- March 11: No Seminar
- March 18: Spring Break; No Seminar
- March 25, Friday, 4:10 p.m., ETB 1020: “Subactive Techniques for Guaranteeing Routing and Protocol Deadlock Freedom in Interconnection“, Mayank Parasar, Samsung Austin R&D Center (SARC), Recording
- April 1, Friday, 4:10 p.m., Zoom: “A Lyapunov Theory of Finite-Sample Guarantees of Stochastic Approximation and Reinforcement Learning“, Siva Theja Maguluri, Assistant Professor in the H. Milton Stewart School of Industrial and Systems Engineering, Georgia Tech, Recording
- April 8, Friday, 4:10 p.m., ETB 1020: “Your Anxiety Toolbox“, Carmen Mota, TAMU Engineering’s Counseling and Psychology Services (CAPS).
- April 15: Reading Day; No Seminar
- April 22, Friday, 4:10 p.m., ETB 1020: “Minimum-Information Kalman-Bucy Filtering and Fundamental Limitation of Continuous-Time Data Compression“, Takashi Tanaka, University of Texas, Recording
- April 29, Friday, 4:10 p.m., Zoom: “Games in Multi-Agent Dynamic Systems: Decision-Making with Compressed Information“, Vijay Subramanian, University of Michigan, Recording
- June 2, Thursday, 10:00 a.m., ETB 1035: “On-Chip Energy-Efficient Neural Diagnostics: Advancing Neuroscience through Wearable Devices“, Muhammad Awais Bin Altaf, Lahore University of Management Sciences (LUMS), Lahore, Pakistan, Recording
Fall 2021
Organizer: Dr. Paul Gratz (pgratz@gratz1.com)
Time: Fridays, 10:20-11:10 a.m.
Location: https://tamu.zoom.us/j/96343481647
- Sept. 10, Friday, 10:20 a.m.: “Bridging the Gap between Algorithm and Architecture: A Machine Learning-Based Approach“, Biresh Kumar Joardar, Duke University, Recording
- Oct. 22, Friday, 10:20 a.m.: “Entangling Prefetchers“, Alberto Ros Bardisa, University of Murcia, Spain, Recording
- Oct. 29, Friday, 10:20 a.m.: “Microarchitectural Prediction with Perceptron Learning“, Daniel Jimenez, Texas A&M University
- Nov. 5, Friday, 9:00 a.m.: “RapidLayout: Fast Hard Block Placement for FPGA-Optimized Systolic Arrays Using Evolutionary Algorithms “, Nachiket Kapre, University of Waterloo, Canada, Recording
- Nov. 19, Friday, 10:20 a.m.: “NeurWIN: Neural Whittle Index Network For Restless Bandits Via Deep RL“, I-Hong Hou, Texas A&M University
- Dec. 3, Friday, 10:20 a.m.: “Pushing the Frontiers of Deep Learning Accelerators with a High Productivity Design Methodology“, Rangharajan Venkatesan, NVIDIA
Spring 2021
Organizer: Dr. Paul Gratz (pgratz@gratz1.com)
Time: Fridays, 9:20-10:10 a.m.
Location: https://tamu.zoom.us/j/96343481647
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- Jan. 29, Friday, 9:20 a.m.: “On Designing Computing Systems for Autonomous Vehicles“, Shaoshan Liu, Perceptin, IO, Recording
- Feb. 5, Friday, 9:20 a.m.: “Automatic Microprocessor Performance Bug Detection“, Erick Carvajal Barboza, Texas A&M University, Recording
- Feb. 12, Friday, 4:00 p.m.: “Telemetry at Scale and Other Challenges in Cloud Networking“, Christophe Diot, Google
- Feb. 19, Friday, 9:20 a.m.: “High-Performance and Energy-Efficient Single-Thread Performance through Slicing“, Lieven Eeckhout, Ghent University, Belgium
- Feb. 26, Friday, 11:30 a.m. – 12:30 p.m.: “Doman Specific Architectures for Deep Neural Networks: Three Generations of Tensor Processing Units (TPUS)“, David Patterson, Google
- March 26, Friday, 9:20 a.m.: “Embedding AI in Everything: mW-level Neural Network Processor“, Shouyi Yin, Tsinghua University
- April 9, Friday 9:20 a.m.: “Hybrid Memory Management for Next-Gen Mobile/Edge Computing Systems“, Fei Wen, Qualcomm, Recording
- April 16, Friday, 9:20 a.m.: “Towards General-Purpose Unary (Stochastic) Computing Architectures“, Joshua San Miguel, University of Wisconsin-Madison, Audio
Fall 2020
Organizer: Dr. Paul Gratz (pgratz@gratz1.com)
Time: Friday 10:40-11:30 a.m.
Location: Zoom: https://tamu.zoom.us/j/94526994449
- Sept. 4, Friday 10:40 a.m.: “A Full Stack Solution Mitigating Spatial and Temporal Memory Vulnerabilities“, Simon Moore, Cambridge University
- Sept. 18, Friday 10:30 a.m.: “Communication-centric Design of Distributed Deep Learning Training Platforms“, Tushar Krishna, Georgia Tech University
- Sept. 25, Friday 10:40 a.m.: “Efficient Heterogeneous Computing for ML Applications“, Yun (Eric) Liang, Peking University
- Oct. 2, Friday 10:40 a.m.: “Hardware Security for and beyond CMOS Technology“, Johann Knechtel, NYU
- Oct. 9, Friday 10:40 a.m.: “CHiRP: Control-Flow History Reuse Prediction“, Elba Garza, Texas A&M
- Oct. 23, Friday 10:40 a.m.: “Design for Test Applications in System Debug, Resilient Computing and Functional Safety“, Wei Li, Intel Corp.
- Oct. 30, Friday, 10:40 a.m.: “Hardware-Based Acceleration of Homomorphic Encryption “, Mihalis maniatakos, New York Univ.
- Nov. 6, Friday, 10:40 a.m.: “5G Antenna Optimization“, Pavlos Lazaridis, Univ. of Huddersfield
- Nov. 20, Friday, 10:40 a.m.: “A Statistical Distribution-based Deep Neuron Network Model – A New Perspective on Effective Learning “, Jinjun Xiong, IBM U.S.
Spring 2020
Organizer: Dr. Paul Gratz (pgratz@gratz1.com)
Time: Fridays, 4:10 p.m. – 5:10 p.m.
Location: ETB 1037
- January 31, Friday 4:10 p.m. (ETB 1037):”Making Temporal Data Prefetching Practical“, Krishnendra Nathella, ARM Inc.
- February 5, Wednesday 11:00 a.m. (WEB 236C): “Securing Execution of Neural Network Models on Edge Devices“, Michel Kinsy, Boston University (co-hosted with the Cybersecurity Center)
- February 7, Friday 2:00 p.m. (WEB 232): “In Hardware We Trust?: Gains and Pains of Hardware Assisted Security”, Dr. Ahmad-Reza Sadeghi, Technische Universität Darmstadt, Germany (Co-hosted with the Cybersecurity Center)
- February 7, Friday 4:10 p.m. (ETB 1037): “Secure Speculative Execution in the Age of Spectre and Meltdown”, Nael Abu-Ghazaleh, University of California, Riverside (co-hosted with the Cybersecurity Center)
- February 21, Friday 4:10 p.m. (ETB 1037): “Machine Learning for Microarchitectural Prediction”, Daniel Jimenez, Dept of CSE, Texas A&M University.
- March 6, Friday 4:10 p.m. (ETB 1037): “Perceptron-Based Prefetch Filtering”, Paul V. Gratz, Dept of CSE, Texas A&M University.
- March 20, Friday 4:10 p.m. (ETB 1037): Yiran Chen, Duke University
- April 17, Friday 4:10 p.m. (ETB 1037): Chia-Che Tsai, Dept of CSE, Texas A&M University
Fall 2019
Organizer: Dr. Srinivas Shakkottai (sshakkot@tamu.edu)
Time: Fridays, 4:10 p.m. – 5:10 p.m.
Location: ETB 1020
- September 6, Friday 4:10 p.m. (ETB 1020): There is no scheduled CESG Seminar due to the “Conference on Advances in Data Science” Registered students can get credit by describing any one talk in the Summary Form
- September 13, Friday 4:10 p.m. (ETB 1020): “Congestion in Large-Scale Transportation Networks: Analysis and Control Perspectives“, Sivaranjani Seetharaman, University of Notre Dame. Summary form (only for registered students)
- September 20, Friday 4:10 p.m. (ETB 1020): “Towards Learning with Brain Efficiency“, Mohsen Imani, UC San Diego Summary form (only for registered students)
- September 27, Friday 4:10 p.m. (ETB 1020): “Coding and Compressed Sensing for Unsourced Multiple Access“, Dr. JF Chamberland, Texas A&M University. Summary form (only for registered students)
- October 4, Friday 4:10 p.m. (ETB 1020): “Implementing Next-Generation Embedded Systems with Functional Reactive Programming and Real-Time Virtual Resources”, Albert Cheng, University of Houston. Summary form (only for registered students)
- October 11, Friday: “Winedale Workshop”, Registered students can get credit by describing any one talk in the Summary Form
- October 18, Friday 4:10 p.m. (ETB 1020): “How to Measure Side Channel Leakage”, Aaron Wagner, Cornell University. Summary Form (only for registered students)
- October 23, Wednesday 3:00 p.m. (SPECIAL SEMINAR, ETB 3002): “Optimization and Generalization in Modern Neural Networks”, Boris Hanin, Texas A&M University. Summary Form (only for registered students)
- October 25, Friday 4:10 p.m. (ETB 1020): “Wafer-Scale Deep Learning”, Mark Browning, Texas A&M University. Summary Form (only for registered students)
- October 31, Thursday 2:30 p.m. (WEB 236C): “Sparse Regression Codes: Communication via High-dimensional Linear Regression”, Cynthia Rush, Columbia University. Summary Form (only for registered students)
- November 8, Friday 4:10 p.m. (ETB 1020):”Making Mobile Networks Fly“. Karthik Sundaresan, NEC Laboratories America. Summary Form (only for registered students)
- November 15, Friday 4:10 p.m. (ETB 1020):”Hyper-Parameter tuning for ML Models: A Monte-Carlo Tree Search (MCTS) Approach“. Sanjay Shakkottai, University of Texas. Summary Form (only for registered students)
- November 26, Tuesday 4:00 p.m. (ETB 1037): “Multi-Armed Bandits Revisited”, P.R. Kumar, Texas A&M University. Summary Form (only for registered students)
Organizer: Dr. Srinivas Shakkottai (sshakkot@tamu.edu)
Time: Fridays, 4:10 p.m. – 5:10 p.m.
Location: ETB 1037
- January 25, Friday 4:10 p.m. (ETB 1037): “Next Stop: 5nm. But What’s Next for Power Signoff?”, Dr. Albert (Zhiyu) Zeng, Candence Design Systems. Summary form (only for registered students)
- January 31, Thursday 11:00 a.m. (SPECIAL SEMINAR, WEB 236C): “Programmable Hardware Monitors for Software Security”, Dr. Ajay Joshi, Boston University. Summary form (only for registered students)
- February 1, Friday 4:10 p.m. (ETB 1037): “Acceleration at the Speed of System Memory”, Dr. Kevin Hofstee, IBM Research. Summary form (only for registered students) .
- February 8, Friday 4:10 p.m. (ETB 1037): “Robust Learning of Classifiers under Label Noise”, Dr. P.S. Sastry, IISc. Summary form (only for registered students)
- February 15, Friday 4:10 p.m. (ETB 1037): “Decentralized control over Unreliable Communication Links”, Dr. Ashutosh Nayyar, USC. Summary form (only for registered students)
- February 22, Friday 4:10 p.m. (ETB 1037): “Effects of Risk-Aversion and Diversity of User Preferences on Selfish Routing”, Dr. Evdokia Nikolova, UT Austin. Summary form (only for registered students)
- March 1, Friday 4:10 p.m. (ETB 1037): “On Generalization Bounds for Learning from Batch and Streaming Data”, Dr. Shahin Shahrampour, TAMU. Summary form (only for registered students)
- March 8, Friday 4:10 p.m. (ETB 1037): “Impact of Reaction Delays on the Design of Longitudinal Controllers for Autonomous Vehicles”, Dr. Gopal Krishna Kamath, TAMU. Summary form (only for registered students)
- March 22, Friday 4:10 p.m. (ETB 1037): “Acoustic-Based Motion Tracking and its Applications”, Dr. Lili Qiu, UT Austin. Summary form (only for registered students)
- March 29, Friday 4:10 p.m. (ETB 1037): “Two Part Seminar: Coded Compressed Sensing for Unsourced Multiple Access (Vamsi Amalladinne) and QFlow: A Reinforcement Learning approach to High QoE Video Streaming at the Wireless Edge (Rajarshi Bhattacharyya)”, Texas A&M University. Summary form (only for registered students)
- April 5, Friday 4:10 p.m. (ETB 1037): “Hashing Algorithms for Extreme Scale Machine Learning”, Dr. Anshumali Shrivastava, Rice University. Summary form (only for registered students)
- April 12, Friday 4:10 p.m. (ETB 1037): “The Value of Intellectual Property for Inventors”, John Beckerdite and Nick Chremos, Texas A&M University. Slides. Summary form (only for registered students)
- April 26, Friday 4:10 p.m. (ETB 1037): ” Consensus Taxonomy in the Blockchain Era”, Dr. Juan Garay, Texas A&M University. Summary form (only for registered students)
Fall 2018
Organizer: Dr. Srinivas Shakkottai (sshakkot@tamu.edu)
Time: Fridays, 4:10 p.m. – 5:10 p.m.
Location: ETB 1020
- September 7, Friday 4:10 p.m. (ETB 1020): “Approximate Computing: A New Dimension for Hardware Design Trade-off”, Dr. Jiang Hu, Texas A&M University. Summary form (only for registered students) .
- September 14, Friday 4:10 p.m. (ETB 1020): “Big Data Analysis and Cross-Layer Optimization for Communication, Caching and Computing (C^3) Networks”, Dr. Zhu Han, University of Houston. Summary form (only for registered students) .
- September 21, Friday 4:10 p.m. (ETB 1020): “Accurate Learning or Fast Mixing? Dynamic Adaptability of Caching Algorithms”, Dr. Srinivas Shakkottai, Texas A&M University. Summary form (only for registered students) .
- September 28, Friday 4:10 p.m. (ETB 1020): Graduate Student Seminars.
1. “Security of Cyber-Physical Systems”, Bharadwaj Satchidanandan, Texas A&M University
2. “Small-Scale Markets for Bilateral Resource Trading in the Sharing Economy”, Bainan Xia, Texas A&M University.
Summary form (only for registered students) . - October 5, Friday 4:10 p.m. (ETB 1020): “Autonomous Vehicles: The Good, the Bad and the Ugly”, Dr. Srikanth Saripalli, Texas A&M University. Summary form (only for registered students) .
- October 12, Friday 4:10 p.m. (ETB 1020): “Transportation Systems Resilience: Capacity-Aware Control and Value of Information”, Dr. Saurabh Amin, MIT. Summary form (only for registered students) .
- October 25, Friday 4:10 p.m. (ETB 1020): “Scheduling Punctured Systems: Joint Scheduling of Ultra Reliable Low Latency and Mobile Broadband Traffic”, Dr. Gustavo De Veciana, UT Austin. Summary form (only for registered students) .
- November 2, Friday 4:10 p.m. (ETB 1020): “Enabling Seamless Coverage and Mobility Support for Millimeter-Wave Networks”, Dr. Xinyu Zhang, UC San Diego. Summary form (only for registered students) .
- November 9, Friday 4:10 p.m. (ETB 1020): “Quantum-driven classical optimization”, Dr. Helmut Katzgraber, Texas A&M University. Summary form (only for registered students) .
- November 16, Friday 4:10 p.m. (ETB 1020): “Sociotechnical Perspectives on Internet Resource Management: Internet Exchanges as Markets for Infrastructure Services”, Dr. Jesse Sowell, Texas A&M University. Summary form (only for registered students) .
- November 30, Friday 4:10 p.m. (ETB 1020): “Last Mile Security in Industrial IOT Applications”, Dr. Xiaolin Lu, Texas Instruments. Summary form (only for registered students) .
- December 12, Wednesday 11:10 a.m. (WEB 333, Fishbowl): “Deconstructing the Blockchain to Approach Physical Limits”, Dr, Sreeram Kannan, University of Washington
- December 12, Wednesday 4:30 p.m. (WEB 236C): “Interface between Machine Learning and Information Theory”, Dr, Sreeram Kannan, University of Washington
Spring 2018
Organizers: Dr. Alex Sprintson (spalex@tamu.edu)
Time: Friday 4:10 p.m. – 5:10 p.m.
Location: WEB 236C
- April 27, Friday 4:10 p.m. (WEB 236C): “Topological Quantum Computation”, Dr. Eric Rowell, Texas A&M University
- April 20, Friday 4:10 p.m. (WEB 236C): “Algorithms, Architectures, and Test-beds for Advanced Wireless Communication Systems”, Dr. Joseph Cavallaro, Rice University
- April 13, Friday 4:10 p.m. (WEB 236C): “Long-term Secure Communication without Computational Assumptions”, Dr. Rei Safavi-Naini, University of Calgary
- April 6, Friday 4:10 p.m. (WEB 236C): “Learning-Based Power and Performance Prediction for Heterogeneous System Design”, Dr. Andreas Gerstlauer, University of Texas, Austin
- March 30, Friday 4:10 p.m. (WEB 236C): “Challenges and Opportunities in Advanced R&D at a Global Private Technology Company”, Jian Li, Huawei Technologies, Inc.
- March 2, Friday 4:10 p.m. (WEB 236C): “Bridging Design and Manufacturing Gap through Machine Learning and Machine-Generated Layout”, Dr. Yibo Lin, University of Texas, Austin
- February 23, Friday 4:10 p.m. (WEB 236C): “Energy-efficient Machine Learning Systems for Cloud and Edge Computing”, Dr. Yingyan Lin, Rice University
- February 16, Friday 4:10 p.m. (WEB 236C): “Toward Online Intrusion Tolerance & Response in Power Systems”, Dr. Katherine Davis, Texas A&M University
- February 9, Friday 4:10 p.m. (WEB 236C): “Impact of the Cyber-Physical Interdependency on Cascading Failure Mitigation in the Smart Grid”, Dr. Mingkui Wei, Sam Houston State University
- January 26, Friday 4:10 p.m. (WEB 236C): “Private Information Retrieval with Side Information”, Brenden Garcia, Texas A&M University
Fall 2017
Organizers: Dr. Alex Sprintson (spalex@tamu.edu) & Dr. Peng Li (pli@tamu.edu)
Time: Friday 4:10 p.m. – 5:10 p.m.
Location: WEB 236C
- November 17, Friday 4:10 p.m. (WEB 236-C): Sequential Learning, Optimization and Control for Cyber-Physical Systems, Dr. Dileep Kalathil, Texas A&M University
- November 14, Friday 2:20 p.m. (WEB 236-C): Implantable Electronic Migration at Biotronik, David Genzer ’83, Director of IC Design and Development – Texas Biotronik/Micro Systems Engineering Inc.
- November 10, Friday 4:10 p.m. (WEB 236-C): Human-Centric Machine Learning in the Big Data Era, Dr. Xia “Ben” Hu, Texas A&M University
- November 3, Friday 4:10 p.m. (WEB 236-C): Throughput-Optimal Scheduling for Multi-Hop Networked Transportation Systems with Switch-Over Delay, Dr. I-Hong Hou, Texas A & M University
- October 27, Friday 4:10 p.m. (WEB 236-C): Knowledge-driven representations of physiological signals: Developing measurable indices of non-observable behavior, Dr. Theodora Chaspari, Texas A & M University
- October 20, Friday 4:10 p.m. (WEB 236-C): Model checking Asynchronous Systems: A New Technique and a Practical Tool, Dr. Jeff Huang, Texas A & M University
- October 13, Friday 4:10 p.m. (WEB 236-C): Embracing Sparsity in Deep Networks: From Algorithms to Hardware, Dr. Zhangyang (Altas) Wang, Texas A & M University
- October 6, Friday 4:10 p.m. (WEB 236-C): What Really Lies beyond Moor’s Law?, Dr. Frank Liu, IBM Research
- September 29, Friday 4:10 p.m. (WEB 236-C): Spiking Neural Networks: Learning Architecture and Hardware Implementation, Dr. Peng Li, Texas A & M University
- September 22, Friday 4:10 p.m. (WEB 236-C): Small is the New Big: Data Analytics on the Edge – An overview of processors and algorithms for deep learning techniques on the edge, Dr. Abhay Samant, Vice President of Engineering Hiller Measurements
- September 15, Friday 4:10 p.m. (WEB 236-C): Systems for Clinical Outcomes Predictions, Dr. Bobak Mortazavi, Texas A & M University
- September 8, Friday 4:10 p.m. (WEB 236-C): The Rewriting of a 50-Year-Old Solution: The Normalized Singular Value Decomposition of Non-Symmetric Matrices Using Givens Fast Rotations, Ehsan Rohani, Texas A & M University
- September 1, Friday 4:10 p.m. (WEB 236-C): Towards Principle Support for Storage and Wireless Applications in Software Defined Networks, Dr. Alex Sprintson, Texas A & M University
Spring 2017
Organizer: Dr. Paul V. Gratz (pgratz@gratz1.com)
Time: Friday 3:55 p.m. – 5:10 p.m.
Location: CHEN 108
- May 5, Friday 4:00 p.m. (CHEN 108): Trustworthy Integrated Circuit Design, Jeyavijayan (JV) Rajendran, University of Texas at Dallas
- April 28, Friday 4:10 p.m. (WEB 236-C): Breaking the On-Chip Latency Barrier Using Single-Cycle Multi-Hop Networks, Tushar Krisha of Georgia Tech
- April 21, Friday 4:10 p.m. (WEB 236-C): CPU and Server System Architecture Opportunities for AI Application Optimization, Balint Fleischer, CTO at Huawei
- April 7, Friday 4:10 p.m. (WEB 236-C): How Much Time, Energy, and Power Does an Algorithm Need?, Richard (Rich) Vuduc of Georgia Tech
- March 31, Friday 4:10 p.m. (WEB 236-C): Prototyping Medium Access Control Protocols for Wireless Networks, Simon Yau of Texas A&M
- March 24, Friday 4:10 p.m. (WEB 236-C): Exo-Core — Software-Defined Hardware-Security, Mohit Tiwari of the University of Texas
- March 3, Friday 4:10 p.m. (WEB 236-C): Improving Cyber Security through Cyber Insurance and Data Analytics, Parinaz Naghizadeh of the University of Michigan
- February 24, Friday 4:10 p.m. (WEB 236-C): Making Wi-Fi Work in Multi-Hop Topologies: Automatic Negotiation and Allocation of Airtime, Violet R. Syrotiuk of Arizona State University
- February 17, Friday 4:10 p.m. (WEB 236-C): Leaping Over the Memory Wall with Data Prefetching and Cache Replacement, Jinchun Kim of Texas A&M
- February 3, Friday 4:10 p.m. (CVE 222): Hardware Trojans Begone: Inspiring Trust in Outsourced IC Fabrication, Siddharth Garg of New York University
- January 27, Friday 4:10 p.m. (WEB 236-C): Cyberethics and Cyberpolitics: Ethical and Social Issues, Glen Miller of Texas A&M
- January 20, Friday 4:10 p.m. (WEB 333): Virtual Human Teleportation via UAV-IoT AR/VR Immersive Communication, Jacob Chakareski of the University of Alabama
- Dec. 1, Thursday 2:30pm (WEB 236C): Simha Sethumadhavan, Columbia University.
- Nov. 18, Friday 4:10pm (CHEN 108): David Gent, SofTest Designs Corporatio
n. - Nov. 11, Friday 4:10pm (CHEN 108): Xin Li, Carnegie Mellon University.
- Oct. 28, Friday 4:10pm (CHEN 108): Peng Li, Texas A&M University.
- Oct. 21, Friday 4:10pm (CHEN 108): Hao He, Texas A&M University.
- Oct. 14, Friday 4:10pm (CHEN 108): Prabhat Mishra, University of Florida.
- Oct. 7, Friday 4:10pm (CHEN 108): Kalyan Banerjee, iRunway Inc.
- Sept. 30, Friday 4:10pm (CHEN 108): Alejandro Rico, ARM Inc.
- Sept. 23, Friday 4:10pm (CHEN 108): (Eminent Scholar Series) Bruce Jacob, University of Maryland.
- Sept. 16, Friday 4:10pm (CHEN 108): Alex Thomasson, Texas A&M University.
- Sept. 9, Friday 4:10pm (N/A): No seminar this week.
- Sept. 2, Friday 4:10pm (CHEN 108): GENI Wireless Testbed: An open ecosystem for wireless communications research. Abhimanyu Gosain, Raytheon BBN Technologies.
Spring 2016
- Apr. 22nd, Friday 4:00 pm (WEB 236C): Xin Zhan, Texas A&M University.
- Apr. 8, Friday 4:00 pm (WEB 236C): Is Wearable Technology the Future for Improving Health? Using Sensors to Reduce Fall Risk, Improve Mobility, and Monitor Sleep, Dr. Javad Razjouyan, Baylor College of Medicine.
- Mar. 25, Friday 4:00 pm (WEB 236C): Recent Advances in Tactical High Performance Computing Dr. Raju Namburu, Army Research Labs (ARL).
- Mar. 11, Friday 4:00 pm (WEB 236C): Quantifying multi-user computational security, Ken Duffy, MIT.
- Feb. 26, Friday 4:00 pm (WEB 236C): Silicon Photonic Microring Resonator-Based Transceivers for Compact WDM Optical Interconnects, Sam Palermo, Texas A&M University.
- Feb. 19, Friday 4:00 pm (WEB 236C): Case Study for an EDA Product from Research to Release, Wen Hao Liu, Cadence.
- Feb. 10, Wednesday 10:00 am (WEB 236C): From Reliability to Security: Negative Bias Temperature Instability and Random Telegraph Noise in Hardware Security. Dr. Xiaoming Chen, Post-Doctoral Researcher at Carnegie Mellon University
- Feb 3, Wednesday 4:00 pm (WEB 236C): Evolution or Revolution? – Conventional and Neuromorphic Systems Leveraging Emerging Memory Technologies, Helen Li, University of Pittsburgh.
- Jan 29, Friday 4:00 pm (WEB 236C): Codes for Distributed Storage Systems: Design, Analysis, and Implementation, Alex Sprintson, Texas A&M University
Fall 2015
- Sept. 2, Wednesday 4:00 pm (O&M 112): No seminar, quick info session for the students enrolled.
- Sept 9, Wednesday 4:00 pm (WEB 236C): Unlocking system performance with NVMe Flash, Manu Awasthi, Samsung Research.
- Sept 16, Wednesday 4:00pm (WEB 236C): Microfluidic Lab-on-a-Chip Systems Enabling Next-Generation High-Throughput Assays, Arum Han, Texas A&M University.
- Sept 23, Wednesday 4:00pm (WEB 236C): Tapas of Quantum Computing, Andreas Klappenecker, Dept. CSE, Texas A&M University. Slides
- Sept 30, Wednesday 4:00pm (WEB 236C): Rethinking Competitive-Ratio: Two Case Studies, I-Hong Hou, Texas A&M University.
- Oct 7, Wednesday 4:00pm (WEB 236C): Trustworthy Integrated Circuit Design, Jeyavijayan (JV) Rajendran, UT Dallas
- Oct 12, Monday 2:30pm (WEB 236C): (Eminent Scholar Seminar) Challenges and Approaches for a Trustworthy Power Grid Cyber Infrastructure, William Sanders, University of Illinois at Urbana–Champaign.
- Oct 23, Friday 4:00pm (WEB 236C): Distributed Algorithms for Big Graph Analytics, Alexandros G. Dimakis, The University of Texas at Austin.
- Oct 28, Wednesday 4:00pm (WEB 236C): Flash in The Enterprise : It’s Not Your Grandfather’s USB Stick, Charles Camp, IBM (Slides1, Slides2)
- Nov 4, Wednesday 4:00pm (WEB 236C): (seminar post-poned to spring, no seminar this week)
- Nov 11, Wednesday 4:00pm (WEB 236C): Vijay Janapa Reddi, The University of Texas at Austin.
- Dec 2, Wednesday 11:00am (Room 202 Reed McDonald Building): Health Data Sciences at ORNL: From Personalized Medicine to Population Health, Dr. Georgia Tourassi, Director of the Biomedical Science and Engineering Center and the Health Data Sciences Institute at ORNL.
Spring 2015
- May 1, Friday 3:55 pm (1037 ETB): Optical Interconnects: Technology and Challenges, O. Eknoyan, Texas A&M University.
- April 24, Friday 3:55 pm (1037 ETB): Microwave superconducting circuits: understanding the parametrically flux-pumped SQUID by its electrical impedance, Kyle Sundqvist, Texas A&M University.
- April 17, Friday 3:55 pm (1037 ETB): Scaling-Friendly VCO-Based ΔΣ ADC Design in Advanced CMOS Processes, Nan Sun, University of Texas at Austin.
- April 7, Tuesday 3:55 pm (HECC 200): Genomic Analysis Tools for Familial and Case-Control Sequencing Studies, Chad Huff, MD Anderson Cancer Center.
- March 26, Thursday 4:00 pm (WEB 333) (SPECIAL SEMINAR): Maple: Simplifying SDN Programming Using Algorithmic Policies, Andreas Voellmy, Yale University.
- March 13, Friday, 3:55 pm (ETB 1037): Catapulting beyond Moore’s Law: Using FPGAs to Accelerate Data Centers, Derek Chiou, Microsoft/UT Austin.
- March 6, Friday, 3:55 pm (ETB 1037): Hardware Implementation of Cascade Support Vector Machine, Qian Wang, Texas A&M University.
- February 10, Tuesday, 3:55 pm (HECC 200): Energy Cyberphysical Systems: The Lay of the Land, Dr. M. Kezunovic, Texas A&M University.
- February 6, Friday, 3:55 pm (ETB 1037): Ternary CAM Design for IP Routing using Floating Gate Transistors, Viacheslav Fedorov, Texas A&M University.
Fall 2014
- November 25, Tuesday, 3:55 pm (ETB 1034): B-Fetch: Branch Prediction Directed Prefetching for Chip-Multiprocessors, David Kadjo, Texas A&M University.
- November 14, Friday, 3:55 pm (ETB 1034): Automatic Granularity Control for Irregular Workloads on Heterogeneous Systems, Donald S. Fussell, University of Texas at Austin
- October 24, Friday, 3:55 pm (ETB 1034): Distributed Computing and Redundancy at Bloomberg LP, Michael Clare, Bloomberg LP
- October 17, Friday, 3:55 pm (ETB 1034): Use-it or Lose-it: Wearout and Lifetime in Future Chip-Multiprocessor Interconnect, Paul Gratz, TAMU
- October 10, Friday, 3:55 pm (ETB 1034): Techniques for Fast Physical Design Closure, Guo Yu, Oracle Corp.
- October 3, Friday, 3:55 pm (ETB 1034): A Brief Summary of Intel’s Transistor and Interconnect Trends from 90nm Planar to 14nm FIN-FET Technology, Gianfranco Gerosa, Intel Corp.
- September 26, Friday, 3:55 pm (ETB 1034): The Capacity of Wireless Networks for Emerging Applications, I-Hong Hou, TAMU
- September 19, Friday, 3:55 pm (ETB 1034): Challenges and Opportunities for Analysis-based Research in Big Data, Nick Duffield, TAMU
- September 9, Tuesday, 3:55 pm (ETB 1034): Cloud Radios with Limited Feedback, Kiran Kuchi, IIT Hyderabad
Spring 2014
- January 24, Friday, 3:55 pm (ETB 1034): Noise-Based Logic, Laszlo Kish, Texas A&M University.
- February 4, Tuesday, 3:55 pm (ETB 1034): Quantum Computers: Small and Large, Andreas Klappenecker, Texas A&M University.
- February 10, Monday, 9:30 am (ZACH 213C): How to Build an Ecosystem for Future City Innovation: The case of Porto, Portugal, João Barros, Veniam’Works and Universidade do Porto.
- February 10, Monday, 11:00 am (WEB 333): Digital Microfluidic Biochips: Towards Hardware/Software Co-Design and Cyberphysical System Integration, Tsung-Yi Ho, National Cheng Kung University.
- March 7, Friday, 3:55 pm (ETB 1034): The Three Weight Algorithm: A Method for Large Scale Distribution, José Bento, Disney Research.
- March 17, Monday, 3:00 pm (ETB 1034): Steiner Trees in Chip Design, Stephan Held, University of Bonn.
- March 28, Friday, 3:55 pm (ETB 1034): SyNAPSE: Scalable Energy-Efficient Neurosynaptic Computing, Jun Sawada, IBM.