Alumni
PhD
Yi Zheng
PhD (2023)
Video Analytics with In-SSD Processing Approaches
HUAWEI Beijing
Md Fahim Faysal Khan
PhD (2023)
Machine Learning Model Compression and Performance Optimization
LLM performance engineer, NVIDIA
Zheyu Li
PhD (2023)
Accelerating Data-intensive Bioinformatic Workloads
Postdoctoral Researcher, University of California – San Diego
Zeinab Hakimi
PhD (2023)
Efficient Deep Neural Networks Architecture for Video Analytics Systems
Engineer at Lowes
Sonali Singh
PhD (2023)
Spiking Neural Network Architectures
Engineer at AMD
Akshay Ramanathan
PhD (2022)
Stacked-3D and Processing-in-memory Solutions for Data-intensive and Persistent Applications
Engineer at MediaTek
Eric Homan
PhD (2022)
Efficient Deep Neural Networks Architecture for Video Analytics Systems
Engineer at Lowes
Nagadastagiri Reddy
PhD (2022)
Design of processing-in-memory architectures for deep learning and graph
Engineer at Nvidia
Peter Zientra
PhD (2021, Co-advised with Sampson)
Design of a vision-based assistive system for visually impaired persons.
Presented demonstrations of his research prototypes at the US Senate and featured on Big Ten Television.
Nicolas Jao
PhD (2021)
Non-volatile memory design based on crossbar architecture towards low power systems and processing in-memory
AMD
Sumitha George
PhD (2020)
Technology Driven Architecture Support for Memory Hierarchies
Assistant Professor, North Dakota State University
Srivatsa Rangachar
PhD (2020, Co-advised with Swaroop Ghosh)
In-Memory Logic using Monolithic 3D
Intel Corporation
Jinhang Choi
PhD (2019, Co-advised with Sampson)
Context-Aware Design and Optimization of Embedded Deep Neural Network Architectures
Microsoft Corporation
Kaisheng Ma
PhD (2018, Co-advised with Sampson)
Self-Powered Neuromorphic Vision Processors
Winner of EDAA Outstanding Dissertation Award and the China Overseas Talent and Innovation Entrepreneur based on innovation resulting from Ph.D. Research and co-founded PI2Star
Assistant Professor in Tsinghua University
Wei-Yu Tsai
PhD (2017, Co-advised with Sampson)
Enabling New Computation Paradigms with Emerging Technologies
Principal, Tech Lead at Walgreens AI Lab
Siddharth Advani
PhD (2016, Co-advised with Sampson)
Large-scale object recognition for embedded wearable platforms
Winner of 2013 Richard Newton Young Fellowship Program
Senior Hardware Engineer at Samsung Research America.
Developing key hardware technology for next generation Samsung Mobile products.
Nandhini Chandramoorthy
PhD (2016, Co-advised with Sampson)
Design and Exploration of Accelerator-rich Multi-core Systems
Research Staff Member, IBM Watson Research Labs.
Her work, funded by the DARPA PERFECT program, consists of examining techniques for reliable operation at very low voltages and designing a chip to establish proof of concept.
She is also involved in developing pre-RTL optimization tools for modeling power, performance and reliability to aid IBM product transitions.
Kim, Moon Seok
PhD (2016)
Digital/mixed-signal circuit designs with steep slope III-V tunnel transistors
Intel Corporation
Chris Lee
PhD (2016)
Data dependent optimization vision architecture
Game Software Designer
Matthew Joseph Cotter
PhD (2015)
Enabling intelligent vision systems in a configurable multi-algorithm pipeline
Research Engineer, Applied Research Labs, Penn State
Huichu Liu
PhD (2015, Co-advised with Suman Datta)
Device Circuit Interactions for Steep Switching Slope Devices.
Senior Research Scientist, Facebook
Huichu Liu has been leading researcher in novel technology and process integration with future computer microarchitecture at Intel labs. She has filed over 10 patents at Intel labs on novel logic and memory technologies. Winner of Design Automation Conference under 40 innovators award.
Yang Xiao
PhD (2014)
Using attention to enhance efficiency in video-based computer systems
Senior R&D Engineer, Synopsys Inc
Contributed to physical placer development and optimization for the new generation of Design Compiler, the industry leading tool for logic synthesis
Cong Xu
PhD (2014, Co-advised with Yuan Xie)
Modeling, circuit design, and microarchitectural optimization of emerging resistive memory
Research Engineer at Hewlett Packard Labs
Acceleration of deep learning workloads on Moonshot servers with integrated GPUs
Karthik Swaminathan
PhD (2014)
An examination of post-CMOS computing techniques using steep slope device-based architectures
Research Staff Member, IBM T.J Watson Research Center at Yorktown Heights, NY
His work is focused on resilience-aware designs for very low voltage operation of processors. In addition to publication at top conferences, his work has resulted in several patents as well as in key contributions to government project deliverables and IBM server and mainframe systems. Winner of IBM PhD Fellowship Award when at Penn State.
Mi Sun Park
PhD (2014, Co-advised with Mary Jane Irwin)
Configurable accelerators for visual and text analytics
Machine Learning Engineer, Intel, Santa Clara
Sungho Park
PhD (2013)
System-on-Chip integration of heterogeneous accelerators for perceptual computing
Hardware Design Engineer, Intel, Folsom
Melvin Eze
PhD (2013)
Sub-50 nm multi-segment interconnect design: A treatise on speed, reliability and signal integrity
Independent Consultant
Winner of Paul H. Schweitzer Memorial Graduate Fellowship and Bunton-Waller Fellowship during graduate study
Ahmed Ai Maashri
PhD (2012)
Accelerating design and implementation of embedded vision systems
Assistant Professor at Sultan Qaboos University, Oman (premiere university in Oman)
Appointed as a member of the National Committee for Approving Programs for all universities in Oman. Founder and Chair of the IEEE Computer Society in Oman.
Yong Cheol Peter Cho
PhD (2012)
Accelerating Cortical Processing for Real Time Neuromorphic Vision Systems
Senior Researcher at Electronics and Telecommunications Research Institute (ETRI), Taiwan
Involved with design of neuromorphic hardware accelerators and embedded systems
Srinidhi Kestur Vyasa Prasanna
PhD (2012, Co-advised with Suman Datta)
Domain-specific accelerators on reconfigurable platforms
Sr Hardware Engineer in the Technical Infrastructure group at Google
Sr Hardware Engineer in the Technical Infrastructure group at Google, where he drives efforts to navigate the end of Moore’s law by contributing to custom Chip development activities for the Google Datacenter. Before joining Google in 2016, Dr Kestur was a Principal Engineer at Broadcom Ltd where he led the Emulation and FPGA prototyping efforts of an ARM-based server-class Processor SoC. Prior to that he worked at Intel Labs as a Research Scientist and contributed to the design and verification of the CPU subsystem in the SoFIA smartphone SoC. Notable awards include Broadcom President’s award in 2017 which is offered to select few employees throughout the company for outstanding contributions to the company.
Michael Debole
PhD (2011, Co-advised with Yuan Xie)
Configurable accelerators for video analytics
Research Staff Member at IBM Almaden Research Center
IBM Corporate Award for Development of Cryptographic Hardware Module for System Z Mainframe (used by 96% of the banks around the world). Recipient of Misha Mahowald prize for Neuromorphic Engineering (TrueNorth), one of the first commercial neuromorphic chips in the world.
Vinay Saripalli
PhD (2011. Co-advised with Suman Datta)
Device and architecture co-design for ultra-low power logic using emerging tunneling-based devices
Staff Software Engineer, Intel, Santa Clara
Develops RTL2GDS methodologies intended to reduce the impact of parasitic on timing convergence of SoC blocks
Prasanth Mangalagiri
PhD (2010, Co-advised with Yuan Xie)
A reliable design flow for platform FPGAs
Senior Staff Software Engineer, Intel, Santa Clara
He is a member of Product Development Solutions, which is a Research & Development group that develops innovative solutions and standards that span and connect Intel’s Product Life Cycle. He serves as a strategic planner and technical lead for Analog Memory Solutions, where he is involved in end-to-end activities of Tools, Flows, and Methodologies development and deployment, with an emphasis on significantly reducing Analog Circuit and Physical Design Turn-Around-time. Analog design migration capabilities developed under Dr.Mangalagiri’s technical leadership, were deployed in high-speed IO IPs in Intel SOCs and the original contributions of his research were recognized as “Best of Published” in Intel DTTC-2017 conference. He has also won three internal Intel Awards for outstanding work.
Andrew Jonathan Sylvester Ricketts
PhD (2010)
Towards minimizing the adverse effects of temperature on high performance digital systems
Graphics Hardware Engineer at Intel, Folsom, CA
Responsible for the RTL verification and development for various codecs including the encode and decode of HEVC and VP9
Soumya S. Eachempati
PhD (2010, Co-advised with Suman Datta)
Influence of emerging technologies on interconnect architectures
Component Design Engineer, Intel, Santa Clara
Performance Architect for server platforms
Aditya Yanamandra
PhD (2010, Co-advised with Mary Jane Irwin)
Exploring power reliability tradeoffs in on-chip networks
Principal Engineer, Intel, Santa Clara
Ramakrishnan Krishnan
PhD (2010, Co-advised with Suman Datta)
Analysis of failures in nanoscale devices
Section Manager at TSMC Taiwan
Test Chip Design and Development Division. Incharge of test-chip design team for TSMC internal test-chips and customer test chips. Owns 4 patents.
Sungmin Bae
PhD (2010)
Closing the gap between FPGA and ASICS: The applications of clock skew scheduling on FPGAs
CAD Software Engineer at Intel Santa Clara
Niranjan Soundararajan
PhD (2010, Co-advised with Anand Sivasubramaniam)
Addressing reliability issues in performance-critical processor structures
Research Scientist at Intel Technologies India
The work involves anticipating architectural and application trends several years ahead and extending this best-in-class architecture accordingly. Five Intel patents at different stages of filing on improving core performance and SoCs
Kevin Maurice Irick
PhD (2009)
A configurable platform for sensor and image processing
Founder SiliconScapes, LLC
Silicon Scapes produces custom accelerators for Defense and Commercial applications. Siliconscapes emerged from a Ben Franklin TechCelerator @State College award to transition research to commercial products.
Jung Sub Kim
PhD (2008)
High-performance signal processing on reconfigurable platforms
Principal Engineer, Samsung, Korea
Research and Development of next generation television systems.
Chrysostomos A. Nicopoulos
PhD (2007, Co-advised with Ken Jenkins)
Network-on-Chip architectures: A holistic design exploration
Assistant Professor, Department of ECE, University of Cyprus
His Ph.D. dissertation received the prestigious Outstanding Dissertation Award in the area of “New directions in logic and system design” in 2008-09 by the European Design and Automation Association (EDAA). Most recently, he won a Best Paper Award at the DATE-2015 conference, Europe’s premiere and biggest electronic system design & test conference.
Matthew G. Pirretti
PhD (2007)
Secure communications in sensor networks
Software Engineer at Intel Corporation, Phoenix
Have designed, developed, and evaluated highly complex cryptosystems, including eventual release into multiple products. Served as secure boot architect for Intel’s 2014 tablet product.
Rajaraman Ramanarayanan
PhD (2007)
Soft errors in logic circuits: Analysis and modeling
Component Design Engineer, Intel, Bangalore
Ing-Chao Lin
PhD (2007)
System level power and reliability modeling
Associate professor in Department of Computer Science and Information Engineering, National Cheng Kung University, Taiwan
Recipient of Excellent Young Electric Engineer award by Chinese institute of Electric Engineering Society in 2015 and the recipient of Best Graduate in Last Decade (GOLD) award by IEEE Tainan Section. IEEE Senor Member and ACM Senior Member.
Suresh Srinivasan
PhD (2007)
Tackling power and reliability issues in field programmable gate arrays
Founded Gnoll Technologies Pvt. Ltd
a company excelling in the most advanced IOT solutions. an entrepreneur (Gnoll Technologies Pvt. Ltd.) and Senior Vice President of a joint venture of his company with a multi-million dollar firm(yet to be public) developing hardware and software integrated IOT solutions catering to numerous industries. In past, lead the performance and power analysis team of ARM, the front face to all ARM IP going out to partners for 4 years and before that worked with Intel Labs and Design teams for 5 years, on their future products. He owns the patent for the current world’s best circuit for True Random Number Generator (digital) and the fastest Floating Point MAC Algorithm, both implemented in Intel’s main core
Aman Gayasen
PhD (2006, Co-advised with Mahmut kandemir)
Implications of future technologies on the design of FPGAs
Senior Software Engineer, Xilinx, Hyderabad
Developed Vivado physical synthesis, a leading FPGA design tool in industry, from the ground up. Architected the solution. Developed incremental placement algorithm and timing optimizations.
Theocharis Theocharides
PhD (2006)
Embedded hardware face detection for digital surveillance systems
Associate Professor, Department of Electrical and Computer Engineering, University of Cyprus. Director of Research, KIOS Research and Innovation Center of Excellence, University of Cyprus.
Approximately 80+ peer-reviewed publications in Journals, Conferences and Book Chapters, significant funding (excess of 750,000 as PI, excess of 40 million as Co-PI. Supervised 3 Ph.D. students to graduation, supervising 5 more currently.
Jooheung Lee
PhD (2006, Co-advised with Ken Jenkins)
Efficient VLSI architectures for image and video signal processing algorithms
Associate Professor, Department of Electronic and Electrical Engineering, Sejong Campus, Hongik University, South Korea
Gregory M. Link
PhD (2006)
Temperature -aware computing
Manager, Embedded Software, Magic Leap
Defining and implementing linux kernel module interfaces. High performance embedded framework design and implementation, including hard timing constraints. Internal team support.
Hendra Saputra
PhD (2005, Co-advised with Mahmut Kandemir)
Security issues in embedded system design
Research Staff, Agency for Science, Technology and Research (A*STAR), Singapore
Working on developing secure embedded systems software.
Vijay S. R. Degalahal
PhD (2005)
Soft errors: Modeling and interactions with power optimizations
Principal Engineer, Intel
ServedSOC and Power Architect for Intel’s mainstream Client microprocessors. For the past 12 years, Vijay is responsible in making several generations of Intel CoreTM products to have lower power and longer battery life.
Lin Li
PhD (2005, Co-advised with Mary Jane Irwin)
Designing energy-efficient and reliable caches and interconnects
Staff Engineer, Qualcomm, North Carolina
Processor and system performance modeling and analysis
Yuh-Fang Tsai
PhD (2005, Co-advised with Mary Jane Irwin)
Tools and techniques for leakage power analysis
Failure Analysis Manager, Microsemi Corporation, Taiwan
She setup and hired all the people in Microsemi, Taiwan Hsinchu office. Winner of the ASPDAC retrospective most influential paper in 2013 for her dissertation work on leakage modeling.
Jie Hu
PhD (2004)
Orchestrating the compiler and microarchitecture for reducing cache energy
DataCenter Power Management Technologist, Intel, Santa Clara
40+ publications and one patent. Sets the enabling strategy for power management at silicon & platform levels. Provides leadership role in the resolution of major customer power management issues & requirements
Soontae Kim
PhD (2003)
Energy -efficient high performance cache architectures
Associate Professor at KAIST, premier institution in Korea
Winner of multiple best paper awards and the 2015 KAIST 10 best research accomplishment for work on small Drone-detecting RADAR. His students are faculty members in Pakistan and Bangladesh and at IBM Watson Research Center in USA.
Hyun Suk Kim
PhD (2003, Co-advised with Mary Jane Irwin)
Energy -aware hardware and software optimizations for embedded systems
Senior Engineer, Samsung Electronics, Korea
Masters
Aditya Kannan
MS CSE (2023)
Optimizing privacy preserving neural networks employing homomorphic encryption.
Ashwath Swaminathan
MS CSE (2023)
Optimizing existing NLP tasks by employing Knowledge Graphs Knowledge Graph Embedding.
Viet Pham
MS CSE (2022)
An Analysis and Framework for Multi-label Image Classification of Insect Taxonomy with Convolutional Neural Networks.
Samuel Abrams
MS CSE (2022)
Extending Video Action Recognition in the Compressed Domain Video Analytics in Compressed Domain.
Tongguang Yu
MS CSE (2022)
Hardware Functional Obfuscation With Ferroelectric Active Interconnects.
Abhishek Kumar
MS CSE (2022)
Architectural support for in-cache data movements
Abhijeet Kumar
MS CSE (2022)
Nelson Troncos
MS CSE (2022)
AIGuide : An Augmented Reality Hand Guidance Application for People with Visual Impairments
Rishab Gulati
MS CSE (2021)
A Toolchain for On-Chip Thermal Management of FPGA Designs
Hariram Thirucherai
MS CSE (2021)
Optimization of Inter-Cache Traffic Entanglement in Tagless Caches with Tiling Opportunities.
Grant Eden
BS/MS IUG HONORS STUDENT (2020)
Using a UAV and Edge Computing to Identify and Throw Away Trash.
Makesh Chandran
MS CSE (2020)
Processing in-Memory Architecture Incorporating Systolic Dataflow for Deep Neural Networks.
Sahithi Ramipalli
MS CSE (2020)
A Processing-in-Memory Accelerator Architecture for Graph Analytics
Dong Hyun Kim
BS/MS IUG HONORS STUDENT (2019)
Sensor Aware Machine Learning for Edge Devices
Steve Davis
MS CSE (2019, Co-advised with Sustersic)
An Analysis and Framework for Multi-label Image Classification of Insect Taxonomy with Convolutional Neural Networks.
Philip Shin
MS CSE (2019)
Context-Aware Collaborative Object Recognition for Multi Camera Time Series Data.
Zeinab Hakimi
MS CSE (2019)
Collaborative Inference for Distributed Camera System
Skyler Anderson
MS CSE (2019)
Adaptive Neural Network Architectures for Power Aware Inference.
Jake Eden
BS/MS IUG HONORS STUDENT (2018)
Employing Text Features for Visual Assistance in Navigation and Classification.
Gus Smith
BS/MS IUG HONORS STUDENT (2018)
Designing Processing in Memory Architectures Via Static Analysis on Real Programs.
Vinayaka Krishna
MS CSE (2018)
Dense Convolutional Object Detection For Visual Assistive Systems on Mobile Platforms.
Ikenna Okafor
MS CSE (2017)
Hardware Acceleration of Visual Search.
Priyanka Gomatam
MS CSE (2017)
Object Recognition Using Structured Feature Extraction With A Reconfigurable, Neurosynaptic Processor
Senior Software Engineer, Visa Inc., Austin
Jagruti Mohapatra
MS CSE (2016)
Prediction and assessment of ambient energy signals for energy harvesting systems
Komala Subhadra Madineedi
MS CSE (2016)
A platform for evaluating embedded multi-core systems.
Verification Engineer, Intel, Phoenix.
Jagdish Sabarad
MS CSE (2016)
A Reconfigurable Accelerator For Neuromorphic Object Recognition.
Staff Embedded Systems Designer, Edwards Lifesciences, Orange County, CA
Kameran Davis
MS CSE (2015, Co-advised with John Susteric)
Real Time Object Tracking On Active Pan Tilt Zoom Camera Using CMT.
Engineer, Applied Research Labs.
Unsuk Heo
MS CSE (2015)
A High-efficiency Switched-capacitance Htfet Charge Pump For Low-input-voltage Applications.
Software Engineer, Google
Joshua Snyder
MS/BS Honors (2015)
Optimization and Hardware Acceleration of Consensus-based Matching and Tracking.
Embedded Systems Engineer, Philips Respironics, PA.
Brigid Smith
MS/BS Honors (2015)
Improving object recognition performance through semantic context extraction.
Software Engineer, Amazon
Anusha Chandrasekar
MS CSE (2014)
Depth Estimation using monocular cameras.
Component Design Engineer, Intel, Folsom.
Rohit Ranade
MS EE (2013, Co-advised with Kenneth Jenkins)
Image processing using coupled oscillators.
Senior Imaging Engineer, GEO Semiconductor Inc, Bay Area.
Kyle Wray
MS CSE (2012)
A Game Theoretic Approach To Multi-Agent Systems In Highly Dynamic, Information-Sparse, Role Assignment Scenarios.
Ravindhiran Mukundarajan
MS CSE (2011)
Tunnel FET based Field Programmable Gate Arrays.
Intel India
Aarti Chandrasekar
MS EE (2011)
A Fine-Grained Dataflow Library for Reconfigurable Streaming Accelerators
Logic Design Engineer, Intel, Folsom
Dharav Dantara
MS EE (2011)
Reconfigurable Accelerators for Neuromorphic Systems
Senior Verification Engineer at Xilinx
Jesse Scott
MS CSE (2010)
FPGA based Image recognition
Vikram Sampath Kumar
MS EE (2010)
Connected Component Labeling on FPGAs
IP Logic Designer at Intel
Aditi Rathi
MS EE (2009, Co-advised with Kenneth Jenkins)
A GPU based implementation of Center Surround Distribution Distance Algorithm for feature recognition
Technical Sales Specialist, Intel India
Srijith Rajmohan
MS EE (2009, Co-advised with Dr. Datta)
A Neural Network Based Classifier on Cell Broadband Engine.
Computational Scientist, Virginia Tech
Kate Kilroy
MS CSE (2008)
A Signal Based Approach to an Instrument Driver System
Amol Mupid
MS CSE (2008)
Variation-aware CAM structures. Deceased.
Srinath Sridharan
MS CSE (2008)
Performance-Reliability Tradeoffs in designing reorder buffers.
Senior Software Engineer at Google
Han-Wei Chen
MS CSE (2007)
Impact of Circuit Degradation on Design Security of Field programmable Devices.
Intellectual Property Attorney, Perkins Coie LLP
Charles Addo-Quaye
MS CSE (2007, Co-advised with Prof.Xie)
Thermal-Aware Placement and Variation for Three Dimensional Network-on-Chip Designs.
Assistant Professor, Lewis-Clark State College, in Lewiston, Idaho
Adil Sarwar
MS CSE (2006)
Performance Evaluation of SystemC and Verilog for RTL Synthesis and System Modeling
MBA Candidate. Worked for Intel as first job after graduation.
Priya Sundararajan
MS CSE (2006)
Mapping Signal Processing Applications on FPGAs
Hardware Design Engineer at HCL America, Rochester
Raghavan Ramadoss
MS CSE (2006)
Static and Runtime Optimization Strategies for Variation Aware MPSoC Platforms
Hardware Design Engineering Manager. Cisco, San Francisco.
Thomas Richardson
MS CSE (2005, Co-advised with Y. Xie)
On-Chip Interconnects.
Kevin Irick
MS CSE (2004)
Embedded Face Detection
Kiyoung Lee
MS CSE (2004)
Leakage control mechanism for FPGAs
Swapna Dontharaju
MS CSE (2004)
Soft error analysis of CAMs
Test R&D Engineer at Intel Corporation, Oregon
Eric Swankoski
MS CSE (2004)
Encryption and Security in SRAM FPGAs
Senior Principal Systems Engineer / Software Development Lead at General Dynamics Information Technology
Christopher Oster
MS CSE (2003)
A Workload Characterization and Performance Analysis of Multiprocessor Immersive Display Environments
Principal Systems Architect at Lockheed Martin Space Systems Company
Grace Eberhardt
MEng CSE (2003, Co-advised with Dr. Saraswat)
Analyzing the Common Language Runtime
Ananth Hegde Ankadi
MS CSE (2003)
Variable Line Sized Cached DRAM
VP, Architecture at J.P. Morgan, New York
Nachiket Shikhare
MS CSE (2003, Co-advised with Dr. Irwin)
Leakage Power Estimation Tool for CMOS Circuits.
Program Manager at Cypress Semiconductor
Yuh-Fang Tsai
MEng CSE (2002, Co-advised with Dr. Saraswat)
Characterization and Modeling for Run-time Leakage Reduction Techniques
Xiheng Xu
MS CSE (2002, Co-advised with Dr. Irwin)
Evaluating Energy-Efficiency of Channel Coders
Hendra Saputra
MS CSE (2001, Co-advised with Dr. Kandemir)
Compiler-directed Voltage Scaling for Reducing Energy
Balaji Viswanathan
MEng CSE (2001, Co-advised with Dr. Sivasubramaniam)
OS Paging Issues for DRAM Energy Management
Geethanjali Esakkimuthu
MS CSE (2001, Co-advised with Dr. Irwin)
Memory Energy: Modeling and Optimizations
Nandagopal Kirubanandan
MS CSE (2001, Co-advised with Dr. Sivasubramaniam)
Memory Energy Characterization and Optimization of SPEC2000 Benchmarks
Principal Software Engineering Lead at Microsoft
Preeti Garg
MEng CSE (2001)
Implementation of a Java Accelerator: Interfacing the Java Virtual Machine with the FPGA
Senior Application Engineer, Accenture
Jun Zhao
MS CSE (2001)
Influence of MPEG-4 Parameters on System Energy
R&D Manager at Synopsys
David Charles
MS CSE (2001, Co-advised with Dr. Hurson)
Improving ILP with Instruction Reuse Cache Hierarchy
Gandhi Thirugnanam
MS CSE (2001)
Low Power Content Addressable Memory Design
Primary Patent Examiner, USPTO
Jeyran Hezavei
MS CSE (2001, Co-advised with Dr. Irwin)
Power Modeling and Optimization of Memories and Functional Units
Co-Founder, CEO at AVAtronics, Switzerland
Samarjeet Tomar
MS CSE (2001)
Characterizing and Optimizing Memory Energy in Java
Director of Software Development, Oracle, Bangalore
Tendai P. Chinoda
MS CSE (2000)
Protecting Java Applications Against Decompilation via Control Flow Obfuscation
Vice-President, Enterprise Architect, PNC, Pittsburgh
Rajendra Athavale
MS CSE (2000)
Annotation Based Energy Optimization for Java
Enterprise Architect, Dell
Anupama Murthy
MS CSE (2000)
Memory System Characterization of Java Applications
Software Designer at HP
Undergraduates
Shivank Vatsal
Schreyers BS Honors Thesis (2023)
Haptic Feedback System for Percussive Elements in Music
Anand Raju
Schreyers BS Honors Thesis (2023)
Detecting and Tracking Insects in the InsectEye Device
Yao Xu
Schreyers BS Honors Thesis (2022)
A Microscope Camera System for Producing High-Quality Insect Datasets
Shivran Muralidharan
Schreyers BS Honors Thesis (2021)
Addressing Overfitting Issues with Deep Learning Model for Video Action Recognition
Tianyi Shen
Schreyers BS Honors Thesis (2021)
Attention-Based Human Activity Recognition
Thomas Kawchak
Schreyers BS Honors Thesis (2018)
Indoor Localization for the Visually Impaired
Eric Gallante
Schreyers BS Honors Thesis (2018)
The Accuracy of Rhythm Recognition with Convolutional Neural Networks on TrueNorth Processor
Ronald Caccese
Schreyers BS Honors Thesis (2015)
Comparing Integrate And Fire Neuron Circuits Using TFET And CMOS Technologies
Eugene Joseph Gallagher
Schreyers BS Honors Thesis (2009)
A scalable FPGA platform for LADAR acquisition, control, and processing
Jacek Turowski
Schreyers BS Honors Thesis (2007)
Network-on-chip router design
Cedric T. Yoedt
Schreyers BS Honors Thesis (2005)
Exploring the impact of soft-errors on memory cell design
Lan N. Vuong
Schreyers BS Honors Thesis (2003)
Dynamic web design for multiple platforms
Brandon Rioja
Schreyers BS Honors Thesis (2003)
A remote execution framework for an embedded Java environment
Victor Lyuboslavsky
Schreyers BS Honors Thesis (2000)
Design of a databus charge recovery mechanism
Founder of EDAPlayground (Acquired by Doulous) and mdPortal
Post Doctoral Scholar
Keni Qiu
Post Doctoral Scholars (2019-2020)
Assistant Professor. Capital Normal University, Beijing
Yuhua Liang
Post Doctoral Scholars (2017-2018)
Assistant Professor. Xidian University
Xueqing Li
Post Doctoral Scholars (2015-2018)
Associate Professor, Tsinghua University, China (Winner of China 1000 Scholar Program)
Ramesh Vaddi
Post Doctoral Scholars (2014)
Assistant Professor, Sivan Nadar University, India
Yasuki Tanabe
Post Doctoral Scholars (2014-2016)
Researcher, Toshiba, Japan
Kevin Irick
Post Doctoral Scholars (2010-2016)
Founder, SiliconScapes
Michael Debole
Post Doctoral Scholars (2011)
IBM Research
Yongseok Jin
Post Doctoral Scholars (2010)
Intel
Luan Din
Post Doctoral Scholars (2010-2011)
Madhu Mutyam
Post Doctoral Scholars (2007-08)
Professor, IIT Madras, India
High School Interns
Tonya Dutta
High School K-12 Summer Interns (2022)
South Bend, IN
Brent McNeel
High School K-12 Summer Interns (2019)
Tyrone Area HS
Isabelle Fetzer
High School K-12 Summer Interns (2019)
Grier School
Eva McCracken
High School K-12 Summer Interns (2018)
Grier School
Jack Lewis
High School K-12 Summer Interns (2018)
Tyrone Area HS
Benjamin Hostler
High School K-12 Summer Interns (2016)
Hannah Schuster
High School K-12 Summer Interns (2016)
Aiden Call
High School K-12 Summer Interns (2014)
Megan Koegler
High School K-12 Summer Interns (2014)
Justin Bush
Research Experience for Teachers Summer (2019, 2020)
Tyrone Area School District
Kelly Forest
Research Experience for Teachers Summer (2014, 2016)
Grier School for Girls
Gabriel R. Franzoni
International Exchange Summer Interns, sponsored by Institute of International Education), Summer 2015
Bernardo Godinho
International Exchange Summer Interns, sponsored by Institute of International Education), Summer 2016