
News | March 16, 2026
Ozcan Lab Publishes Paper in Science Advances on Optical Computing for Structural Health Monitoring

In collaboration with UCLA’s Civil and Environmental Engineering Department and the California Geological Survey, Ozcan’s team demonstrated the power of their platform through experimental validations using millimeter-wave illumination on a laboratory-scale building model with a programmable shake table. They successfully extracted vibration spectra under various dynamic excitations, including seismic waveforms from an earthquake dataset. Additionally, they showcased a wavelength-multiplexed diffractive system capable of simultaneously monitoring multi-point structural vibrations using light sources with distinct wavelengths.
Please see the paper and press release.
Professor Iyer Publishes Paper on Workforce Readiness and Curriculum Modernization for U.S. Engineering Education

In December 2025, Professor Subramanian Iyer published “The ‘Crisis’ in Higher Engineering Education in the United States” in IEEE Electron Devices Magazine, addressing workforce readiness and curriculum modernization for U.S. engineering education.
Please see the paper.
Professor Iyer Delivers Global Plenary Talks
Over the past year, Professor Subramanian Iyer delivered plenary talks at major academic and industry forums worldwide on advanced packaging roadmaps, semiconductor system scaling, heterogeneous integration strategy, and engineering education transformation. These engagements continue to extend UCLA ECE’s influence on technical direction and national semiconductor policy.
Krutikesh Sahoo Publishes Paper on Heterogeneous Wafer-scale Integration

Krutikesh Sahoo, whose research collaborations with Professor Subramanian Iyer advance heterogeneous integration and packaging technologies, recently published a paper titled “Copper-Copper Thermal Compression Bonding Scheme for Heterogeneous Wafer-scale Integration” in IEEE Transactions on Components, Packaging and Manufacturing Technology.
Please see the paper.
ECE Department Hosts Graduate School Open House
On March 6th, our department welcomed approximately 75 prospective M.S. and Ph.D. students for this year’s Open House, an exciting opportunity where we showcase our community, research, and graduate experience. The day began with a department presentation highlighting our degree programs, research strengths, and student support. The prospective students then joined faculty and current graduate students for lunch, offering an informal chance to ask questions and learn about life in the department. Throughout the afternoon, attendees explored our facilities through lab tours, faculty during drop-in hours, and participated in a student-led workshop designed to share insights on graduate school and navigating the program. The event concluded with a student social, giving prospective students the chance to connect with our graduate community and experience the collaborative spirit that defines our department.
Professor Iyer Appointed as Vice President of Strategy for IEEE Electron Devices Society

The UCLA ECE and CHIPS community congratulates Subramanian (Subu) Iyer on his appointment as Vice President of Strategy for the IEEE Electron Devices Society. In this global leadership role, Prof. Iyer will help guide strategy in semiconductor devices, advanced packaging, and industry–academia collaboration. This appointment highlights UCLA’s growing national and international impact in the semiconductor
UCLA CHIPS Welcomes New Industry Members

The UCLA Center for Heterogeneous Integration and Performance Scaling (CHIPS) is pleased to welcome several new industry partners to the consortium. These collaborations strengthen our efforts to advance research in heterogeneous integration, advanced semiconductor packaging, and next-generation microelectronics systems.
Our newest members include Mattson Technology Inc., a semiconductor processing equipment provider supporting advanced wafer fabrication; Boeing, a global leader in aerospace, defense, and advanced technologies; and Mueon, an emerging technology company focused on next-generation computing infrastructure.
Through these partnerships, UCLA CHIPS continues to expand collaboration between academia and industry to accelerate innovation and provide students with exposure to cutting-edge technologies shaping the future of microelectronics.
Events/Seminars

Upcoming PHD Defenses

Student Organizations
Invitation to Mentor: Connect with the Next Generation of UCLA ECE Students
The UCLA chapter of Eta Kappa Nu (HKN) is launching its Winter Mentorship Program and is looking for alumni to help bridge the gap between academic life and industry reality.
We are seeking former UCLA engineering graduates to:
- Provide 1:1 advice to current students.
- Share insights on current industry trends.
- Help students understand what it takes to thrive in the field today.
We are also planning an in-person get-together for mentors and mentees in the Spring (food provided!) to help build community and connect face-to-face.
Whether you are working in hardware, software, or research, your experience is invaluable to the next generation of Bruins.
How to Join:
If you are willing to mentor a student this Winter Quarter, please fill out this brief form.
Summer School Opportunities
Brown Systems Week: Summer 2026
The 2026 Brown Systems Week is a five-day summer school on the principles and practice of software systems. Its goal is to prepare selected undergraduate and graduate students for cutting-edge research in systems and its interface with computer security, networks, programming languages, machine learning, formal methods, and computer architecture. Student costs are offset by support from NSF, Google, Amazon, and Brown University.
The deadline to apply is April 1, 2026.
Please see the website.
Volunteering Opportunities
2026 IEEE International Microwave Symposium Student Volunteer Opportunity
The organizing committee for the 2026 IEEE International Microwave Symposium (IMS) invites undergraduate and graduate students working in RF, microwave, and related areas to participate as student volunteers at IMS 2026.
The IMS is the flagship conference of the IEEE Microwave Theory and Techniques Society (MTT-S), and the 2026 event will be held in Boston, Massachusetts. It promises to be an exciting opportunity for students to engage in cutting-edge research, network with professionals and academics, and gain valuable experience helping organize a premier international conference.
The IMS organizing committee is seeking enthusiastic, responsible undergraduate and graduate students who are eager to contribute their time and energy in exchange for an enriching professional experience.
Applications:
Please contact yanghyokim@umass.edu, pmohanku@mathworks.com, and a.nagulu@northeastern.edu for more information.
Job Opportunities
Solidigm Internship Opportunity
Solidigm, a leading SSD company advancing cutting-edge AI technologies, is currently opening an internship position for senior graduate students. This internship has the potential to convert to a full-time offer upon strong performance.
Internship Requirements:
- Master’s or Ph.D. students, graduating this year or next year (Ph.D. candidates preferred)
- Availability for at least a 6-month internship
- Strong software coding skills
- Solid background in AI, including unsupervised learning, Large Language Models (LLMs) and Reinforcement Learning
- Knowledge of SSD/storage systems is a plus
Can be remote.
Please email Lei Chen at Lei.Chen@solidigm.com if you are interested in this internship opportunity.
Faculty Positions: Electrical Engineering ITAM (Mexico City)
The Department of Electrical and Electronic Engineering at ITAM (Instituto Tecnológico Autónomo de México) invites applications for Tenure-track Assistant Professors, postdoctoral fellows, and Visiting Professors in the following areas:
- Electronics & Electrical Power Systems
- Mechanical Systems and (Cyber-) Physical System Dynamics
- Control Systems
- Signal Processing
- Telecommunications Networks and IoT
Requirements
- Ph.D. (or near completion) from a top-tier university in electrical or mechanical engineering.
- A proven record of high-quality research and peer-reviewed publications.
- A commitment to excellence in teaching and institutional service.
- No Spanish proficiency is required (classes can be taught in English).
Application Instructions
Review of applications begins immediately. Please submit the following documents to enlaceadministrativodai@itam.mx:
- Cover Letter: Stating desired rank, research vision, and teaching philosophy.
- Curriculum Vitae: Including a complete publication record.
California State University, Long Beach (CSULB) Hiring for Assistant Professor Positions
The Department of Computer Engineering and Computer Science (CECS) at California State University, Long Beach invites applications for three tenure-track Assistant Professor positions in Software Engineering, Computer Engineering, Cybersecurity, or closely related areas, beginning August 17, 2026.
Application Submission and Deadline
For full position descriptions and the application portal, please visit:
- Assistant Professor of Cybersecurity
- Assistant Professor of Computer Engineering
- Assistant Professor of Software Engineering
Review of applications will begin January 20, 2026, and the position will remain open until filled or recruitment is canceled.
Cellular SOC Design Verification Engineer – Entry Level at Apple
Do you have a passion for invention and self-challenge? This position gives you an opportunity to be a part of one of the most cutting edge and key projects that Apple’s Silicon Engineering Group has embarked upon to-date. As a Design Verification Engineer on our team, you’ll be at the center of the verification effort within our silicon design group responsible for crafting and productizing state-of-the-art Cellular SoCs!
You will have the opportunity to contribute to the verification effort of a set of complex SOCs delivering the Cellular solution. You will integrate multiple sophisticated IP level DV environments, craft highly reusable best-in-class UVM based test bench, implement effective coverage driven and directed test suites, deploy new tools and methodologies to deliver chips that are right-first-time. By collaborating with other product development groups across Apple, you can push the industry boundaries of what cellular systems can do and improve the product experience for our customers across the world!
Minimum Qualifications:
BS in EE or CS is required
Object Oriented Programming
Coursework in Digital Design
Preferred Qualifications:
MS in EE or CS
Coursework in Computer Architecture, Networking Protocol
Should be a great teammate with excellent communication and problem-solving skills and the
desire to seek diverse challenges.
Programming experience in SystemVerilog, Python, C++
Application details:
- Candidates must be graduating this December
- Please include your current GPA with your resume
- Please send resume directly to Junhui Lou at j_lou@apple.com
Carnegie Mellon University – ECE Faulty Position
The Department of Electrical and Computer Engineering at Carnegie Mellon University invites applications for tenure-track, research-track, and teaching-track faculty positions at all ranks on our Pittsburgh campus. Although we welcome applicants in all areas of ECE, this year we are particularly interested in candidates whose research focuses on machine learning and artificial intelligence.
Our top-ranked department offers a highly collaborative environment, world-class research infrastructure, and strong support for interdisciplinary scholarship. Applicants should hold a PhD in a relevant field. Application review will begin shortly and will continue until the positions are filled.
Faculty application link: https://apply.interfolio.com/174597
When applying, please also email Andrea Zanette at zanette@cmu.edu
Hiring PhD Interns/FTE for Training and Inference of Foundation Models in AWS Neuron Science
From Amazon Web Services Neuron Science:
Our team in AWS AI Research is looking for a couple of PhD FTE/interns passionate about advancing fundamental research in foundation models. Our algorithm team focuses on developing innovative solutions in the topic of Algorithm-System for LLMs (efficient model design, training, inference) LLM-for-System (LLMs and agents that write optimized kernels). These efforts require both a strong theoretical foundation and a practical understanding of topics such as foundation modeling, distributed optimization, model compression, and machine learning systems. We work closely with system researchers to ensure our algorithmic solutions are compatible with system and hardware constraints, training and testing end2end in accuracy and speed. At the same time, the algorithmic innovation we bring can contribute improving systems and future hardware feature to incorporate.
Basic Qualifications
- Hands-on experience with large language models (LLMs), including:
- Model architecture, datasets, evaluation metrics, and pre-/post-training techniques
- Distributed training techniques, such as parallelism, mixed-precision methods, optimizers, stochastic rounding, and IO-aware training
- Compression and inference strategies, including pruning, quantization, and speculative decoding
- Post-training of SFT and RL to enhance reasoning capability
- Leveraging LLM to improve ML system and kernel programming
- Eager to learn effective system kernel implementation if needed
- Enrolled PhD student in Computer Science, Electrical Engineering, Mathematics, or a related field
- First authored papers in top venues like NeurIPS, ICLR, ICML.
Preferred Qualifications
- Strong theoretical background, such as distributed optimization, compression, or RL
- Strong hands-on experience on pre-training (e.g., low-precision training) or post-training (e.g., SFT, RLHF, GRPO)
- Proven experience with foundation models, including LLMs, multi-modal models
- Experience in establishing scaling laws for training and inference time-scaling
- Knowledge of distributed systems and experience developing low-level, high-performant kernels
Selected Publications
This year, our team has published multiple papers that bridge the gap between theory and practice in LLM research. We also actively collaborate with system and hardware engineers across the AWS organization to deliver tutorials. Below is a list of recent publications:
- [Under review] MuonBP: Faster Muon via Block-Periodic Orthogonalization Arxiv
- [Under review] Scaling Laws Meet Model Architecture: Toward Inference-Efficient LLMs Arxiv
- [Under review] TritonRL: Training LLMs to Think and Code Triton Without Cheating Arxiv
- [Under review] Demystifying Transition Matching: When and Why It Can Beat Flow Matching Arxiv
- [Under review] Not-a-Bandit: Provably No-Regret Drafter Selection in Speculative Decoding for LLMs Arxiv
- [IJCAI 2025] Tutorial: Scaling LLM Training: Efficient Pre-training & Fine-tuning on AI Accelerators
- [AISTATS 2025] Training LLMs with MXFP4 Paper
- [AISTATS 2025] Stochastic Rounding for LLM Training: Theory and Practice Paper
- [ICML 2025] ProxSparse – Regularized Learning of Semi-Structured Sparsity Masks for Pretrained LLMs Paper
- [ICML 2025] RoSTE – An Efficient Quantization-Aware Supervised Fine-Tuning Approach Paper
- [ICML 2025] WaveletToken – Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization Paper
- [ICML 2024] Collage: Light-Weight Low-Precision Strategy for LLM Training Paper
- [ICML 2024] Variance-reduced Zeroth-Order Methods for Fine-Tuning Language Models Paper
- [ICML 2024] MADA: Meta-Adaptive Optimizers through Hyper-gradient Descent Paper
- [ICML 2024] EMC^2: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence Paper
- [NeurIPS 2024] Posterior Sampling with a Diffusion Prior for Online Learning Paper
- [IEEE BigData 2024] HLAT: High-quality Large Language Model Pre-trained on AWS Trainium Paper
- [KDD 2024] Survey: Inference Optimization of Foundation Models on AI Accelerators Paper
- [KDD 2024] Tutorial: Inference Optimization of Foundation Models for AI Accelerators
- [KDD 2023] Tutorial: Training Large-scale Foundation Models on Emerging AI Chips
We also collaborate more system-oriented topics like publications below
- [MLSys 2025] Marconi: Prefix Caching for the Era of Hybrid LLM Paper
- [MLSys 2025] ScaleFusion: Scalable Inference of Spatial-Temporal Diffusion Transformers for High-Resolution Long Video Generation Paper
- [MLSys 2025] FastTree: Optimizing Attention Kernel and Runtime for Tree-Structured LLM Inference Paper
If you are excited to push the boundaries of foundation model research and make impactful contributions, we would love to hear from you! We also constantly hire full-time PhDs. Please send your CV to Youngsuk Park pyoungsu@amazon.com | youngsuk@cs.stanford.edu (cc Kaan Ozkara kaanozka@amazon.com) with a short paragraph of your interest.
TSMC Global Summer Internship Program

Part time Project with Professor Pirouz Kavehpour
We’re seeking an expert developer for a project‑based engagement (not hourly) to build and optimize scalable applications, deploy on Azure Cloud, and integrate GPU‑accelerated embedding software. This role requires deep technical expertise, independence, and the ability to deliver high‑quality solutions within defined project milestones.
What You’ll Work On
- GPU Embedding Service (Containerized)—FastAPI (Python), ML/embeddings, Docker + NVIDIA Container Toolkit, Azure GPU (VM/AKS/ACI), CI/CD with Azure Container Registry (ACR).
- Triage Pipeline with DB & Integrations—Node.js/TypeScript (workers/cron), PostgreSQL (SQL, locks), REST API integration, Azure services (Blob, AI Search, Webhooks).
- Website Integration & Admin UI—Next.js 15 (App Router, API routes, Server Actions), TypeScript + React, PostgreSQL queries, UI/UX for job tables & status.
Requirements
- Expertise in Next.js 15, Node.js, TypeScript, React, and PostgreSQL.
- Hands‑on experience deploying to Azure (preferably using ACR, AKS/ACI, Web Apps, andmanaged services).
- Proficiency with containerized GPU workflows (Docker, NVIDIA Container Toolkit).
- Strong understanding of REST APIs, background workers/cron, SQL performance (indexes,
locks), and secure auth patterns. - Track record of independently delivering production‑grade solutions on schedule and tospec.
Nice to Have
- FastAPI and Python ML/embeddings experience.
- Azure AI Search, Blob, and Webhooks integrations.
- CI/CD pipelines (GitHub Actions or Azure DevOps).
- Admin UI/Design System experience for operational dashboards.
How We Work
Project‑based milestones, clear acceptance criteria, frequent check‑ins, and code reviews.
We value pragmatic engineering, performance, and maintainability.
Send your information to: Prof. Pirouz Kavehpour—Pirouz@seas.ucla.edu
The University of Alabama is in search of Professors
If you are completing your PhD this year (or who have recently graduated) that are interested in opportunities to continue your research careers on the tenure track, the University of Alabama is in search of an assistant professor.
The search is currently active and they’ll begin reviewing applications received through the online submission system in the next few weeks.
They are also recruiting at the Associate and Full Professor levels. Those links with further details are below:
Electrical and Computer Engineering – Professor – 527632 – Tuscaloosa, Alabama, United States
Electrical/Computer Engineering Intern at Sophia Space
A well-funded deep-tech startup in Pasadena is seeking Electrical/Computer Engineering Interns to help develop its AI-powered product prototypes. The interns are expected to blend electronics hardware and embedded software to build groundbreaking AI infrastructure in space. Roles are available full-time or part-time starting immediately, with the option to continue part-time (~10–15 hrs/week) during the academic year.
Please see this link for more information regarding this position.
Newsletter Submissions
To be included in future newsletters, please send the latest news, awards, publications and any upcoming PhD oral defenses to the Chair’s assistant, Winda Mak, at wmak@seas.ucla.edu. Please include “newsletter submission” in the subject line. The ECE newsletters will be sent bimonthly on the first and third Mondays of the month. Please ensure all submissions are received by the Wednesday before distribution to be included in the newsletter.