"CAREER: Explainable AI for Real-Time Video Anomaly Anticipation", National Science Foundation (NSF), Submitted for Review, $598,259, 04/01/2025 – 03/31/2030. Role: Principal Investigator.
"Travel: Data Science and Advanced Analytics (DSAA) 2024 Student Forum Travel Grant", National Science Foundation (NSF), #2444370, $25,000, 08/15/2024 – 07/31/2025. Role: Principal Investigator.
"Experiential Learning Practices for Workforce Development and Student Engagement in Cybersecurity Careers", National Institute of Standards and Technology (NIST), Submitted for Review, $300,000, 09/01/2024 – 08/31/2026. Role: Co-Principal Investigator.
"Rainflow-Based Stream Runoff Prediction", Santa Clara Valley Water District, Santa Clara, CA, $50,000.00, 08/02/2022 – 05/31/2023. Role: Principal Investigator.
"Valley Water AI Models for Hydrologic Flow", Wood Rogers, Inc./Santa Clara Valley Water District, Santa Clara, CA, $39,328.65, 06/10/2019 – 06/09/2022. Role: Principal Investigator.
"CRII: III: RUI: Effective Protein Characterization via Fast Exact Open Modification Searching", National Science Foundation (NSF), #2002321 & #1850557, $175,000, 03/01/2019 – 02/28/2022. Role: Principal Investigator.
"Anomaly Detection in Active DNS Data", Infoblox, Santa Clara, CA, $240,000, 01/28/2019 – 01/27/2021 (with Magdalini Eirinaki). Role: Principal Investigator.
"Flextronics Term Chair Grant", Flex Ltd., Milpitas, CA, $90,000, 02/01/2018 – 01/31/2019. Role: Principal Investigator.
"DARPA HIVE Project Subcontract", Intel Labs, Santa Clara, CA, $25,000, 06/01/2018 – 01/08/2019. Role: Principal Investigator.
"Mass Warning Study for the City of San José", San José Office of Emergency Management, $42,000, 10/01/2017 – 01/31/2019 (with Zeyu Gao and Subhankar Dhar). Role: Co-Principal Investigator.
"GPU Grant", NVIDIA, Santa Clara, CA, $1,940, 01/15/2017. Role: Principal Investigator.
Internal Research and Teaching Grants
"CSEN 145 Parallel Computing Course HPC Integration", WAVE HPC Center, SCU, $5,000, 2024 – 2025. Role: Principal Investigator.
"Introduction to Machine Learning and AI with Python on the HPC Workshop", WAVE HPC Center, SCU, $5,000, 2024 – 2025. Role: Principal Investigator.
"Inexpensive Intelligent Kidney Health Prediction", College of Engineering, SCU, $15,000, 2020 – 2022. Role: Principal Investigator.
"Use of Competitive Learning Platform to Increase Student Engagement", The Faculty Collaborative for Teaching Innovation, SCU, $6,800, 2020 – 2023 (with Fatemeh Tehranipoor). Role: Principal Investigator.
"The College of Engineering High Performance Computing System", College of Engineering, SJSU, $530,000, 2017 – 2018. Role: Principal Investigator.
"Optimal Constrained Wireless Network Antenna Placement", College of Engineering Excellence Research Center on Smart Technology, Computing, and Complex System (STCCS), $9,500, 01/15/2017 – 12/31/2017. Role: Principal Investigator.
"Davidson Student Scholar Grants", College of Engineering, SJSU, $11,000, 2016 – 2019 (supporting graduate students in my lab). Role: Advisor.
"Professional Development Grants", College of Engineering & Department of Computer Engineering, SJSU, $29,910, 2016 – 2019. Role: Principal Investigator.
Outstanding Career Influencer award, 2021 – 2022, Santa Clara University Career Center.
Outstanding Paper Reviewer award, 2017, 26th ACM International
Conference on Information and Knowledge Management, CIKM'17, Pan Pacific, Singapore.
Next Generation Data Scientist award, 2016, 3rd IEEE International
Conference on Data Science and Advanced Analytics, DSAA'16, Montreal, Canada.
This is the first early career award given at DSAA, and the only one awarded in 2016.
Best Research Paper award, 2016, 3rd IEEE International
Conference on Data Science and Advanced Analytics, DSAA'16, Montreal, Canada.
Membership in Professional Organizations
Institute of Electrical and Electronics Engineers (IEEE).
Association for Computing Machinery (ACM).
Sigma Xi, The Scientific Research Honor Society.
Teaching Improvement
Regular attendance at SCU CAFE dialogues. 2021 – Present.
AI Projects for Instructors class. Fall 2023.
National Effective Teaching Institute (NETI-1) Workshop. Winter 2024.
Creating Optimal Online Learning (COOL) Program. Fall 2020
Association of College and University Educators (ACUE) Program. Fall 2020.
Course Improvement
Enhanced the Deep Learning (CSEN 342) course with new lectures on Generative AI and Large Language Models. Designed new programming assignments for the class. Winter 2024.
Obtained another 150,000 CPU-hour and 10,000 GPU-hour allocation on the Expanse supercomputer at UC San Diego for CSEN 145 and CSEN 342. Fall 2024.
Enhanced the Data Mining and Data Mining (CSEN 140) course with a new lecture on "Societal Impacts and Ethics". Spring 2023.
Enhanced the Deep Learning (CSEN 342) course with an updated lecture on "Resource-Aware Deep Learning". Designed new programming assignments for the class. Winter 2023.
Enhanced the Introduction to Parallel Computing (CSEN 145) course with new materials on programming AMD GPUs and OpenMP-based GPU programming. Created new programming assignments and a new set of labs for the course. Obtained another 150,000 CPU-hour and 10,000 GPU-hour allocation on the Expanse supercomputer at UC San Diego for CSEN 145 and CSEN 342. Fall 2023.
Enhanced the Deep Learning (CSEN 342) course with a new lecture on Sentiment Analysis and a new programming assignment focused on proteomics. Winter 2022.
Expanded the use of HPC resources in the undergraduate course Introduction to Parallel Computing (CSEN 145) and the graduate course Deep Learning (CSEN 342) through a 150,000 CPU-hour and 10,000 GPU-hour allocation on the Expanse supercomputer at UC San Diego and integrated its use in programming assignments and group projects. Reorganized lectures to provide earlier instruction on debugging and profiling parallel programs. Fall 2022.
Enhanced the Pattern Recognition and Data Mining (CSEN 281) course with a new lecture on "Ethics in Data Mining". Spring 2021.
Developed a new graduate data science course, titled Deep Learning (CSEN 342). I designed the course with a focus on both theory and practice, introduced students to the latest research in different areas of Deep Learning, and asked them to complete programming assignments and a group project focused on solving real-world problems using Deep Learning techniques. Spring 2021.
Expanded the use of HPC resources in Parallel Computing (CSEN 319) through a 100,000 CPU-hour and 3,000 GPU-hour allocation on the Expanse supercomputer at UC San Diego and integrated its use in the class for programming assignments and the group project. Fall 2021.
Integrated competitive assignments through the CLP platform I developed in data science courses, including the undergraduate Data Mining and Machine Learning (CSEN 140) course, and the graduate Machine Learning (CSEN 240) and Pattern Recognition and Data Mining (CSEN 281) courses. 2020.
Re-designed Parallel Computing courses CSEN 145 and CSEN 319. Created new material to include the latest Parallel Computing hardware and software technologies. Integrated the use of the WAVE HPC in programming assignments. Spring 2020.
Joseph Pham Nguyen, Marcus Chavez∗, Sean Leininger. FlowView: A Web Application for Hydrologic Predictions. 2022 – 2023. School of Engineering Technical Excellence Award.
Paul Le. Kidney Health Prediction Android App. 2022 – 2023.
Jonathan Nguyen, Andrew Bredar∗. EasyCompost: Using Augmented Reality to Improve Reality. 2021 – 2022.
Jay Ladhad, Colin Rioux, Maggie Dong∗, Chris Tian, Donovan Allen. Multi-Intersection IoT-based Vehicle Counting. 2020 – 2021.
Ethan Paek, Tyler Niiyama, Justin Liu, Spencer Tsang, Kent Ngo, Jackson Tseng.. Multi-Camera Single-Intersection IoT-based Vehicle Counting. 2020 – 2021.
Claire Bushnell, Katherine Becknell, Rachel Fitzsimmons, Emily Sumner. Co-advised with Yuling Yan. Deep Learning-Based Aneurysm Identification in MRI Scans. 2020 – 2021.
Michael Canniffe, Jack Kitts, Wei Wang. Weight Lifting Feedback. 2019 – 2020.
External Thesis Panel Member
Nivedha Balakrishnan. San José State University. Department of Biomedical Engineering. Prediction of Thrombin Inhibitor Peptides from Diverse Habitats Using Machine Learning. Co-advised with Anand Ramasubramanian. 2021 – 2022.
Samuel Sciberras. University of Malta. Department of Artificial Intelligence. Land Vehicle Speed Estimation in an Augmented Reality Space using Computer Vision. 2021
Bipasa Bose. San José State University. Department of Biomedical Engineering. Prediction of Novel Antibiofilm Peptides from Diverse Habitats Using Machine Learning. Co-advised with Anand Ramasubramanian. 2019 – 2020.
Apoorva Kulshreshtha, Niranjana Sankar. Color Constancy for CKD prediction. Summer 2023.
Tiffany Tang, Kevin Zhou. Corridor Vehicle Counting. Summer 2023.
Meha Gaba, Priyanka Ganguly, Prajval Sharma, Adit Singh, Advait Phadke. Luminosity and Background Effects on Test Strip Prediction. Summer 2022.
Maria Vazhaeparambil, Jolie (Jiayi) Wang. Vehicle Counting Using IoT Devices. Summer 2021.
Maria Vazhaeparambil, Meha Gaba, Prajval Sharma. Vehicle Counting Survey. Project lead to a published journal paper. Summer 2020.
Student Supervision, San José State University
Graduate Students Supervised
Saranya Soundar Rajan. Effect of Neighborhood Approximation on Downstream Analytics. Masters of Science in Software Engineering. Recipient of the Davidson Student Scholar Award for our work. Defended Jun 21, 2019
Naga Boddapati. Fast Open-Modification Spectral Library Search using Effective Exact Nearest Neighbor Search. Masters of Science in Computer Engineering. Recipient of the Davidson Student Scholar Award for our work.
Shuai Hua. Vehicle Tracking Based on Historical Intersection Over Union. Masters of Science in Computer Engineering. Defended Oct 26, 2018.
Manika Kapoor. A Data-Driven Approach for Detecting Autism Spectrum Disorders. Masters of Science in Software Engineering. Defended Oct 18, 2018. Recipient of the Davidson Student Scholar Award for our work.
Rathna Ramesh. Machine Learning Methods for Kidney Disease Screening. Masters of Science in Computer Engineering. Defended Jun 22, 2018. Recipient of the Davidson Student Scholar Award for our work.
Swapnil Gaikwad. Optimal Constrained Wireless Emergency Network Antennae Placement. Masters of Science in Computer Science. Defended May 7, 2018.
Thesis/Project Committees
Charles MacKay. Learning for Free: Training Object Detectors with Synthetic Data. Masters of Science in Computer Science. Defended May 17, 2019.
Ardalan Razavi. Combining Blockchain and Swarm Robotics to Deploy Surveillance Missions. Masters of Science in Software Engineering. Defended Mar 29, 2019.
Xiaohong Lui. Data Visualization: An Exploration of Dimension Reduction. Masters of Science in Statistics. Defended Dec 18, 2017.
Avni Gulati. Social Recommendation Systems. Masters of Science in Software Engineering. Defended Oct 29, 2018.
Ragwa Elsayed. Patient Friendly Kidney Function Screening. Masters of Science in Biomedical Engineering. Defended Apr 20, 2018.
Undergraduate Students Supervised
Alexander Richards. Nearest Neighbor Search. Recipient of the university Undergraduate Research Award for our work.
Lukasz Juraszek. Chemical Compound Clustering. Recipient of the university Undergraduate Research Award for our work
Professional Service
National Science Foundation
Proposal Review Panelist. CISE. III. 2022.
Ad-hoc Proposal Reviewer. Division of Mathematical Sciences (MPS/DMS). 2022.
Ad-hoc Proposal Reviewer. Division of Computing and Communication Foundations (CCF). 2021.
Proposal Review Panelist. Computer & Information Science & Engineering (CISE). Division of Information Integration and Informatics (III). 2020.
Proposal Review Panelist. CISE. III. 2019.
Proposal Review Panelist. CISE. III. 2019.
Proposal Review Panelist. CISE. III. 2019.
Proposal Review Panelist. CISE. Division of Computer and Network Systems (CNS). 2018.
Information Systems. Special Issue on Managing, Mining and Learning in the Legal Data Domain. MML4LegalData. Elsevier.
Major Professional Leadership Positions
Co-Organizer and Undergraduate Consortium Co-Chair at the 2025 SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2025).
Co-Organizer and Student Forum Co-Chair at the 11th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2024).
Co-Organizer and Undergraduate Consortium Co-Chair at the 2024 SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024).
Co-Organizer and Social Events Co-Chair at the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024).
Co-Organizer and Undergraduate Consortium Co-Chair at the 2023 SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023).
Co-Organizer and Undergraduate Consortium Co-Chair at the 2022 SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022).
Founding Member and Evaluation Chair, AI City Challenge and AI City Challenge Workshops at the Conference on Computer Vision and Pattern Recognition (CVPR), 2017 – present.
Conference/Workshop Organizer or Chair
Session Chair. KDD 2024. The 2024 SIGKDD Conference on Knowledge Discovery and Data Mining.
Session Chair. IEEE BigData 2023. The 2023 IEEE International Conference on Big Data.
Session Chair. KDD 2023. The 2023 SIGKDD Conference on Knowledge Discovery and Data Mining.
Publicity/Media Co-Chair. IEEE DSAA 2023. The 10th IEEE International Conference on Data Science and Advanced Analytics.
Session Chair. SDM 2021. The 2021 SIAM International Conference on Data Mining.
Publicity Chair. IEEE DSAA 2020. The 7th IEEE International Conference on Data Science and Advanced Analytics.
Session Chair. CIKM 2018. The 28th ACM International Conference on Information and Knowledge Management.
Organizer. VOICE Big Data and Artificial Intelligence Workshop, San José State University. Fall 2017.
Session Chair. iDSC 2017. The 1st International Data Science Conference.
Publicity Co-Chair. IEEE SmartWorld Congress 2017.
Workshop/Tutorial Chair. CBDCom 2017. The 3rd IEEE International Conference on Cloud and Big Data Computing.
Session Chair. IEEE DSAA 2016. The 3rd IEEE International Conference on Data Science and Advanced Analytics.
Senior Program Committee Member
KDD-UC 2024. The 3rd ACM KDD Undergraduate Consortium.
CIKM 2024. The 34th ACM International Conference on Information and Knowledge Management.
SDM24. The 2024 SIAM International Conference on Data Mining.
KDD 2023. The 29th ACM SIGKDD Conference of Knowledge Discovery and Data Mining.
KDD-UC 2023. The 2nd ACM KDD Undergraduate Consortium.
CIKM 2023. The 33rd ACM International Conference on Information and Knowledge Management.
KDD 2022. The 28th ACM SIGKDD Conference of Knowledge Discovery and Data Mining.
KDD-UC 2022. The 1st ACM KDD Undergraduate Consortium.
CIKM 2022. The 32nd ACM International Conference on Information and Knowledge Management.
DSAA 2019. The 6th IEEE International Conference on Data Science and Advanced Analytics.
Program Committee Member
AAAI 2024. The Thirty-Eighth AAAI Conference on Artificial Intelligence.
PAKDD 2024. The 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining.
WWW 2024. The Web Conference 2024 (formerly International World Wide Web Conference).
AAAI 2023. The Thirty-Seventh AAAI Conference on Artificial Intelligence.
SDM23. The 2023 SIAM International Conference on Data Mining.
PAKDD 2023. The 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining.
WWW 2023. The Web Conference 2023 (formerly International World Wide Web Conference).
WSDM 2023. The 16th ACM International Conference on Web Search and Data Mining.
AAAI 2022. The Thirty-Sixth AAAI Conference on Artificial Intelligence.
WWW 2022. The Web Conference 2022 (formerly International World Wide Web Conference).
PAKDD 2022. The 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining.
SDM22. The 2022 SIAM International Conference on Data Mining.
HiPC 2022. The 29th IEEE International Conference on High Performance Computing, Data, and Analytics.
GHTC 2022. The 2022 IEEE Global Humanitarian Technology Conference.
BigData 2021. The 2021 IEEE International Conference on Big Data.
KDD 2021. The 27th ACM SIGKDD Conference of Knowledge Discovery and Data Mining.
CIKM 2021. The 31st ACM International Conference on Information and Knowledge Management.
SDM21. The 2021 SIAM International Conference on Data Mining.
PAKDD 2021. The 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining.
BDS 2021. The 7th IEEE International Conference on Big Data Computing Science and Machine Learning Applications.
iDSC 2021. The 4th International Data Science Conference.
CIKM 2020. The 30th ACM International Conference on Information and Knowledge Management.
KDD 2020. The 26th ACM SIGKDD Conference of Knowledge Discovery and Data Mining.
PAKDD 2020. The 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining.
SDM20. The 2020 SIAM International Conference on Data Mining.
BDS 2020. The 6th IEEE International Conference on Big Data Computing Science and Machine Learning Applications.
iDSC 2020. The 3rd International Data Science Conference.
KDD 2019. The 25th ACM SIGKDD Conference of Knowledge Discovery and Data Mining.
SDM19. The 2019 SIAM International Conference on Data Mining.
PAKDD 2019. The 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining.
iDSC 2019. The 2nd International Data Science Conference.
CIKM 2018. The 28th ACM International Conference on Information and Knowledge Management.
SDM18. The 2018 SIAM International Conference on Data Mining.
PAKDD 2018. The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining.
DesWeb 2018. The 9th International Workshop on Data Engineering Meets the Semantic Web. An ICDE Workshop.
CIKM 2017. The 27th ACM International Conference on Information and Knowledge Management.
WWW 2017. The 26th International World Wide Web Conference.
IEEE SCI 2017. The 2017 IEEE Conference on Smart City Innovations.
DesWeb 2017. The 8th International Workshop on Data Engineering Meets the Semantic Web. An ICDE Workshop.
iDSC 2017. The 1st International Data Science Conference.
IEEE BigDataService 2017. The 3rd IEEE International Conference on Big Data Service and Applications.
CIKM 2016. The 26th ACM International Conference on Information and Knowledge Management.
IDSC 2015. The 2nd International Conference on Data Science.
CIKM 2015. The 25th ACM International Conference on Information and Knowledge Management.
Journal Reviewer
ACM Transactions on Knowledge Discovery from Data (TKDD).
ACM Transactions on Parallel Computing (TOPC).
ACM Transactions on Intelligent Systems and Technology (TIST).
IEEE Transactions on Knowledge and Data Engineering (TKDE).
IEEE Transactions on Services Computing (TSC).
IEEE Sensors.
SIAM Journal on Scientific Computing (SISC).
Springer Journal on Knowledge and Information Systems (KAIS).
Springer Machine Learning Journal.
Springer International Journal of Data Science and Analytics (JDSA).
Springer Journal on Data Mining and Knowledge Discovery (DAMI).
Springer Social Network Analysis and Mining (SNAM).
Elsevier Journal of Parallel and Distributed Computing (JPDC).
Elsevier Information Sciences (INS).
Elsevier Information Systems (INFOSYS).
Book Manuscript Reviewer
Jones & Bartlett Learning. Spring 2019.
University Service, Santa Clara University
Director, WAVE High Performance Computing (HPC) Center
Participated in a team that successfully obtained a $1M grant in external funding from the Fletcher Jones Foundation in 2023 that is earmarked for programming over the next 5 years that will further enhance our HPC support and integration with university-wide training and research programs. The grant is providing funding for faculty community and course development resources, HPC-related skills-based workshops, short courses, and boot camps, a fellowship and mentorship program, project-based research grant funding, and technical systems administration.
Implemented programming funded by the Fletcher Jones grant, including calls for course and workshop development proposals, hiring student fellows, and identifying a faculty mentor for the student fellows.
Participated in meetings and grant writing that have so far lead to AMD donating 2 AMD EPYC 64-core CPUs and 4 AMD Instinct MI100 GPUs, which have been integrated in and are currently being tested as part of the WAVE HPC.
Worked with multiple vendors to design and obtain quotes for the next HPC system that should extend or replace our aging hardware.
Organized a team of researchers and lead the writing and submission of two NSF MRI grants asking for ~$1.4M towards the purchase of a new HPC system.
Lead a project to investigate the possibility of connecting our university to the Science DMZ, a specialized high-bandwidth inter-university network that most R1 universities are part of, which could enable big-data collaborative research between SCU and other R1 institutions.
Participated in meetings and provided material towards writing a corporate foundation grant request for improving the campus research network connectivity and computational resources.
Initiated a condominium node program that will allow faculty to invest their grant funding to purchase HPC nodes that they have preemptive priority access to schedule.
Became a Campus Champion within the NSF-funded ACCESS program to facilitate easier access to external computational resources for our students and faculty.
Participated in regular meetings with the College of Arts and Sciences WAVE co-director, Smita Gosh, and the WAVE HPC administrator to discuss issues related to the maintenance and upgrade of the system as well as user support.
Committees
Faculty Council. School of Engineering. Vice-Chair AY 2023-24, Chair AY 2024-25. 2022 – 2025.
Tenure Track Faculty Search Committee. Department of Computer Science and Engineering. 2020 – 2021.
Engineering Diversity and Inclusion Council. School of Engineering. Spring 2020, Fall 2021.
Service to the University
Co-Director, WAVE High Performance Computing (HPC) Center. 2023 – Present.
New Faculty Orientation Near Peer Panel. Fall 2020, Fall 2021.
Service to the School of Engineering
Led project to develop the FAR app, a web-based application for efficiently recording regular Faculty Activity Reports for the School of Engineering. Summer 2024 – Present
Grad Programs Summer Workshop. Summer 2023.
School of Engineering Open House. Fall 2022.
Engineering Diversity and Inclusion Council member. Winter 2021, Fall 2021.
Virtual Open House mock course. Introduction to Machine Learning. Fall 2021.
Virtual Engineering Seminar (VES). Fall 2020, Fall 2021.
Summer Engineering Seminar (SES). Summer 2021.
Service to the Department of Computer Science and Engineering
Organized Tenure Track/Assistant Professor lunches. 2021 – present.
Co-wrote ABET self-study chapter. Fall 2022.
Senior Design Coordinator. Winter 2022.
Open House volunteer. Fall 2020.
Proposed a new course, CSEN 342: Deep Learning, initially offered Spring 2021.
Revamped CSEN 145 and CSEN 319: Parallel Computing, which had not been taught in many years.
University Service, San José State University
Committees
University committee on graduate studies and research. 2018 – 2019.
University curriculum committee for the Masters in Data Analytics. 2018 – 2019.
University committee for establishing a Masters Degree in Data Analytics. 2017 – 2018.
College graduate studies committee. 2018 – 2019.
College research committee. 2017 – 2018.
Department graduate studies committee. Committee Chair. 2018-2019.
Department faculty recruitment committee. 2017 – 2918.
Department graduate studies committee. 2017 – 2018.
Department undergraduate curriculum committee. 2016 – 2017.
Service to the College of Engineering
Constructed the first College of Engineering high-performance computer (HPC) from scratch as an invaluable research and teaching resource for faculty and students. The HPC is equipped with 20 compute nodes, 15 GPU nodes with NVIDIA P100 cards, 1 condo node with 2 NVIDIA P100 GPUs, 0.66 PB Lustre parallel file storage, and 56 Gbps Infiniband FDR interconnect. First students gained access to the cluster in Feb 2018.
Lead project to develop RTrack, an application used at the college level to track faculty research activity (grants, journal, and conference papers).
Service to the Department of Computer Engineering
Co-advising the Society for Computer Engineering (SCE) student club with Kaikai Liu (2018 – 2019).
Department web site coordinator (2018 – 2019).
Helped organize a "research" section of CMPE 295: Capstone Project aimed at encouraging research-related projects and publications.
Created a new course, CMPE 255: Data Mining, initially taught by me Fall 2017.
Proposed a new course, CMPE 258: Deep Learning, initially taught Fall 2017.
Revamped CMPE 213: Parallel Computing, which had not been taught since 2007.
Coauthored a proposal to establish a Data Science specialization as part of the Master of Science in Software Engineering degree, presented to the graduate curriculum committee and approved in December 2016.