Biography

Ali Jalooli is an Assistant Professor in the Department of Computer Science at California State University, Dominguez Hills. His research focuses on secure and intelligent networked systems, spanning edge AI, cybersecurity, IoT, wireless networking, and privacy-preserving computing. His work explores how emerging AI technologies can be efficiently and securely integrated into distributed environments, including cloud-edge architectures, embedded systems, and next-generation communication networks. Current research includes secure networking protocols, resource-aware optimization, privacy-preserving communication mechanisms, and multimodal large language model (LLM) systems for healthcare and other data-sensitive applications.

Ali's research aims to bridge theoretical advances and real-world deployment by developing practical solutions that improve the performance, reliability, and security of modern connected systems. Through collaborations with industry and academic partners, he also works on AI-driven network analytics, intelligent telemetry interpretation, and edge computing technologies that support scalable and trustworthy infrastructure. His research has been supported by more than $2 million in external funding from agencies including the National Science Foundation (NSF) and the U.S. Department of Homeland Security (DHS). He actively contributes to the research community through editorial service, conference organization, and peer review for leading journals and conferences.

Professional Associations: IEEE Member  |  IEEE ComSoc Member  |  ACM Professional Member

Employment History

Education

• Ph.D. (2016–2020) — Michigan Technological University, Houghton, MI, USA
• M.S. (2013–2015) — University of Malaya, Kuala Lumpur, Malaysia
• B.S. (2010–2013) — Staffordshire University, Staffordshire, England

Research Interests

• Cybersecurity and Data-Driven Security Models
• Responsible and Privacy-Preserving AI
• Privacy-Preserving Machine Learning
• Internet of Things (IoT) Security
• Secure Cloud and Edge Computing
• Internet of Things and Heterogeneous Wireless Networks

Grants and Funds

External Grants

• Department of Homeland Security (23STSLA00019), Co-PI: $1,000,000 — Jul 2023 – Apr 2025
• NSF CNS-2219589, Co-PI: $191,698 — Sep 2022 – Aug 2026
• NSF CNS-2131291, Co-PI: $1,200,000 — Oct 2021 – Sep 2026
• NSF CISE-MSI Mini-Grant, Co-PI: $10,000 — May 2022 – Sep 2022
• NSF CISE-MSI Mini-Grant, PI: $10,000 — May 2021 – Sep 2021

Internal / Institutional Awards

• RSCA (PI): $7,000 — Jun 2026 – Jun 2027
• RSCA (PI): $7,000 — Jun 2025 – Jun 2026
• Emeritus Faculty Legacy Fund Award (PI): $6,486 — Jun 2025 – Dec 2025
• Norris Grant (PI): $5,000 — Jan 2025 – Dec 2025
• RSCA (PI): $6,486 — Jun 2024 – Jun 2025
• Grants for My Research (PI): $1,500 — Jun 2024 – Dec 2024
• Norris Grant (PI): $5,000 — Jan 2024 – Dec 2024
• RSCA (PI): $6,486 — Jun 2023 – Jun 2024
• RSCA (PI): $7,555 — Jun 2022 – Jun 2023
• Doctoral Finishing Fellowship, Michigan Tech University — Jun 2020 – Aug 2020

Travel Grants

• CSUSM Quantum Workshop, Sponsored Travel Grant — 2025
• CAHSI, GMiS Travel Grants — 2022, 2023, 2025
• NSF/ComSoc, IEEE WCNC Student Travel Grant — 2017
• High Impact Research, IEEE APWiMob Student Travel Grant — 2014
• High Impact Research, IEEE VTS Student Travel Grant — 2013

Book Chapters

• A Dynamic Vehicular Traffic Control Using Ant Colony and Traffic Light Optimization, Advances in Systems Science, Advances in Intelligent Systems and Computing, Volume 240, 2014, pp 57–66. DOI: 10.1007/978-3-319-01857-7-6

Selected Journal Publications

• A. Jalooli and A. Marefat, "Cluster Stability-Driven Optimization for Enhanced Routing in Heterogeneous Vehicular Networks," Elsevier Vehicular Communications, March 2024.
• A. Jalooli, M. Song, W. Wang, "Message Coverage Maximization in Infrastructure-Based Urban Vehicular Networks," Elsevier Vehicular Communications, February 2019.
• M. Jabbarpour, A. Marefat, A. Jalooli, H. Zarrabi, "Cloud-Based Vehicular Networks: a Taxonomy, Survey, and Conceptual Hybrid Architecture," Wireless Networks, July 2017.
• M. Jabbarpour, A. Jalooli, E. Shaghaghi, A. Marefat, R. Noor, J-J. Jung, "Analyzing the Impacts of Velocity and Density on Intelligent Position-based Routing Protocols," Elsevier Journal of Computational Science, November 2014.
• M. Jabbarpour, A. Marefat, A. Jalooli, R. Noor, R. Khokhar, "Performance Analysis of V2V Dynamic Anchor Position-based Routing Protocols," Wireless Networks, October 2014.
• M. Jabbarpour, A. Jalooli, E. Shaghaghi, R. Noor, L. Rothkrantz, R. Khokhar, N. Anuar, "Ant-based vehicle congestion avoidance system using vehicular networks," Elsevier Engineering Application of Artificial Intelligence, August 2014.
• O. Micheal, R. Noor, A. Jalooli, "Quality of Service Management for IPTV Service Support in VANET: A Performance Evaluation Study," Wireless Networks, August 2014.
• A. Emami, A. Jalooli, O. Micheal, R. Noor, I. Ahmedy, R. Salleh, "Performance Evaluation of Enhanced Velocity-Based Handoff Algorithm for VANET," Malaysian Journal of Computer Science, June 2014.

Selected Conference Publications

• Huzaif Khan, Lokesh Purohit, Ali Jalooli, "Bridging Security and Efficiency: Energy-Aware Clustering for Data Encryption in Smart Agriculture," Proc. of IEEE ICNC, February 2025.
• Huzaif Khan, Lokesh Purohit, Ali Jalooli, "Energy-Aware Clustering for Efficient CKKS Encryption in Smart Agriculture," Proc. of IEEE CCNC, January 2025.
• Ali Jalooli, Huzaif Khan, Lokesh Purohit, "Blockchain-Enabled Collaborative Forged Message Detection in RSU-Based VANETs," Proc. of IEEE CSNet, December 2024.
• Yahya Sayeed, Ali A. Jalooli, Mehrdad S. Sharbaf, "Acquisition and Analysis of Mobile Data Using Digital Forensics Tools and Techniques," Computer Engineering & Applied Computing, July 2024.
• Ali Jalooli and Frankie Murcia, "Vehicular Edge Computing-Driven Optimized Multihop Clustering with Data Aggregation," Proc. of IEEE CloudNet, November 2023.
• Ali Jalooli, Kuilin Zhang, Min Song, Wenye Wang, "A Novel Clustering Scheme for Heterogeneous Vehicular Networks," Proc. of IEEE ICC, June 2020.
• Ali Jalooli, Min Song, Xiaohua Xu, "Delay Efficient RSU Placement Algorithm for VANET Safety Applications," Proc. of IEEE WCNC, March 2017.
• Mohammad Reza Jabbarpour, Ali Jalooli, Alireza Marefat, Rafidah Md Noor, "A Taxonomy-based Comparison of Vehicle Cloud Architectures," ICICN, March 2015.
• Ali Jalooli, Mohammad Reza Jabbarpour, Hossein Malakooti, Erfan Shaghaghi, Alireza Marefat, Rafidah Md Noor, "Adaptive Advisory Speed Limit Dissemination Using Vehicular Communication," Proc. of IEEE APWiMob, August 2014.
• Erfan Shaghaghi, Ali Jalooli, Rozita Aboki, Alireza Marefat, Rafidah Md Noor, "Intelligent Traffic Signal Control for Urban Central Using Vehicular Ad-hoc Network," Proc. of IEEE APWiMob, August 2014.
• Alireza Marefat, Rozita Aboki, Ali Jalooli, Erfan Shaghaghi, Mohammad Reza Jabbarpour, Rafidah Md Noor, "An Adaptive Overtaking Maneuver Assistant System using VANET," Proc. of IEEE APWiMob, August 2014.
• Ali Jalooli, Mohammad Reza Jabbarpour, Hossein Malakooti, Rafidah Md Noor, Nornazlita Hussin, "Intelligent Speed Limit Information Dissemination Through Vehicular Networks," 10th IEEE VTS Asia Pacific Wireless Communications Symposium, August 2013.
• Hossein Malakooti, Ali Jalooli, Mohammad Reza Jabbarpour, Rafidah Md Noor, "Network Coding-Aware Data Dissemination in Vehicular Ad-hoc Networks," 10th IEEE VTS Asia Pacific Wireless Communications Symposium, August 2013.
• Ali Jalooli, Nor Azlina, Khalida Shajaratuddur, Nurul Haniza, "A Troubleshooting Home Internet Connection Framework for Malaysian Service Providers," Proc. of IEEE ComCompAp, April 2013.

Institutional Services

• Academic Senate (CS Senator) — Fall 2025–Present
• Non-Tenure Track Faculty Advisory Board (NTTFAB) — Fall 2025–Present
• Research and Funding Sub-Committee (NTTFAB) — Fall 2025–Present
• Computer Science Assessment Committee — Fall 2024–Present
• International Education Council — Spring 2024–Present
• Adjunct Faculty Review Committee — Spring 2023–Present
• Colloquium Committee — Fall 2020–Present
• M.S. in Cyber Security Committee — Fall 2020–Present
• STEM Leadership Learning Community — Spring 2025
• Faculty Director of Program Learning Assessment Search Committee — Spring 2024
• CAH Associate Dean Search Committee — Fall 2023
• University Scholarship Committee — Spring 2023
• Title IX and DHR Administrator Search Committee — Fall 2022
• Course Outline of Record Evaluators (CORE)

Professional Services

• Guest Editor, IoT — Secure and Privacy-Preserving IoT Systems for Next-Generation Healthcare
• Guest Editor, Applied Sciences — Advances of Edge Computing in Distributed Systems
• Guest Editor, Applied Sciences — Artificial Intelligence and the Future of Smart Cities
• Workshop Chair, 2nd International Conference on Networks, Communications, and Intelligent Computing (NCIC 2024)
• Organizing Committee, Trends in Artificial Intelligence and Machine Learning (TAIML '24)
• Advisory Member, IEEE International Conference on AI for Innovations in Healthcare Industries (ICAIIHI'23)
• Steering Committee Member and Special Track Chair, CTRQ'22–Present
• Session Chair, IEEE International Conference on Communications (ICC'20)
• General Session Chair, IEEE Wireless Communication and Networking Conference (WCNC'17)
• Frequent reviewer for IEEE Internet of Things Journal, IEEE Transactions on Smart Grid, IEEE Transactions on Vehicular Technology, Elsevier Vehicular Communications, Expert Systems With Applications, Engineering Applications of Artificial Intelligence, Ad Hoc Networks, Wireless Networks, IET Communications, IEEE INFOCOM, IEEE Vehicular Technology Conferences, and others.
• Judge, Research Symposium, Michigan Tech University, March 2018

Awards and Honors

• First Place Award, Poster Competition, GMiSOctober 2023
• First Place Award, Poster Competition, GMiSOctober 2022
• Third Place Award, Poster Competition, GMiSOctober 2022
• Best Undergraduate Student Project, MSC Malaysia, Asia Pacific ICT Awards2013

Current Students

• Alex Jeter — Graduate (Computer Science), Research Assistant
• Sriven Pulkaram — Graduate (Cyber Security), Research Assistant
• Huzaif Khan — Graduate (Computer Science), Research Assistant
• Alex Banks — Undergraduate (Computer Science), Research Assistant

Graduate Thesis & Project Supervision

• Mantra Mehta — Modeling Complex Binary-Class Associations in Simulated Genomic Data (Fall 2025, Project)
• Mallikarjuna Yeruku — Personal Finance Management using Artificial Intelligence (Fall 2025, Project)
• Akilan Pandiyan — Modeling Complex Binary-Class Associations in Simulated Genomic Data (Fall 2025, Project)
• Anushka Kalamkar — Cancer Genomics using Machine Learning for Cancer Sub-Typing with RNA Sequencing Analysis (Fall 2025, Project)
• Preet Patel — AI-Driven Fault Detection and Prediction Framework for Cloud Networks (Fall 2025, Project)
• Deekshitha Shankar — Blockchain for Healthcare: A Secure Framework for Patient Records (Fall 2025, Project)
• Naushik Beladiya — Brain Tumor Segmentation Using UNet and Foundation Models (Fall 2025, Project)
• Muhammad Zaid Kamil — Augmented Reality (AR) Dashboard (Spring 2025, Thesis)
• Vinaykumar Ahir — XLedger: A Blockchain-based Smart Organ Donation System using MERN Stack and Ethereum Smart Contracts (Fall 2024, Project)
• Soham Patil — Data Preservation in Robotic Sensor Networks: A Budget-Constrained Covering Salesman Approach (Spring 2024, Project)
• Pruthviraj Doshi — Store Sales Analysis and Recommendation (Fall 2023, Project)
• Kunal Parnami — Classification of Disease via Deep Learning and Computer Vision (Fall 2023, Project)
• Jaykumar Bhuva — Low-Code Chatbot Development (ToroChat) (Spring 2023, Project)
• Abhijeet Bangera — ServiceNow Integration Using Rest API (Spring 2023, Project)
• Prashanth Kamal Reddy Thoutreddy — Using CycleGAN Architecture to Generate Van Gogh Paintings from Real Images via Style Transferring (Spring 2022, Project)
• Dhanraj Rana — Analysis of the Non-Stationary fMRI Process and Assessment of Brain Entropy (Fall 2021, Project)
• Yeswanth Saidu Sai Polu — Emotion-Based Spotify Playlist Generation Using Facial Features (Fall 2021, Project)

Undergraduate Research Mentorship

• Nallely Perez Hernandez — Evaluating the Robustness of Anomaly Detection Under Adversarial Data Integrity Degradation in Wearable Healthcare Devices (Spring 2026, REU)
• Alex Bank — Simulation-Based Framework for Zero-Knowledge Proofs in IoT Healthcare (Spring & Summer 2025, REU)
• Miguelangel Tamargo — Optimizing Fully Homomorphic Encryption and Zero-Knowledge Proofs for Healthcare IoT Security (Fall 2024, REU)
• Miguel Robles — Vulnerability Analysis of Health Monitoring Wearable Devices in IoT Networks (Spring 2024, REU)
• Jesse Quintero — Enhancing Resilience in IoT Smart Homes Using Machine Learning-Based Anomaly Detection (Spring 2024, Homeland Security Initiative Scholarship)
• Alexander Medina — Cybersecurity Challenges in UAV-Assisted Intelligent Agriculture (Spring 2023, REU)
• Michelle Pickens — Impacts of Cyber Attacks on Connected and Automated Vehicles Data Offloading in Smart Cities (Fall 2022, REU)
• Bryan Ortiz Pardo — Impacts of Cyber Attacks on UAV-Assisted Connected and Automated Vehicles (Fall 2022, REU)

Former Students

• Lokesh Purohit — Graduate (Computer Science), Research Assistant
• Tiffany Kim — Graduate (Cybersecurity), Research Assistant — 1st Place, GMiS Poster Competition 2022 & 2023
• Jeffrey Han — Graduate (Cyber Security), Research Assistant
• Saul Moreno — Undergraduate (Computer Science), Research Assistant
• Diana Lopez — Undergraduate (Computer Science), Research Assistant
• Frankie Murcia — Undergraduate (Computer Science), Research Assistant
• Santiago Tecuanhuey Garcia — Undergraduate (Computer Science), Research Assistant
• Simon Yang — Undergraduate (Computer Science), Research Assistant
• Ross Peltekov — Undergraduate (Computer Science), Research Assistant
• Alexander Medina — Undergraduate (Computer Science), REU 2023
• Michelle Pickens — Undergraduate (Computer Science), REU — 3rd Place, GMiS Poster Competition 2022
• Bryan Ortiz Pardo — Undergraduate (Computer Science), REU 2022

Courses

Graduate Courses

• Advanced Hacking Prevention (CYB 552)
• Data Communications and Computer Networks (CYB 551)
• Information Security Policy and Procedures (CYB 538)
• Foundations of Information Security (CYB 501)
• Communications and Networks (CSC 551)
• Design and Analysis of Algorithms (CSC 501)
• Research Methods (CSC 500)

Undergraduate Courses

• Senior Design Project (CSC 492)
• Computer Networks (CSC 451)
• Analysis of Algorithms (CSC 401)
• Finite Automata (CSC 371)
• Computer Organization (CSC 331)
• Concepts of Programming Languages (CSC 321)
• Data Structures (CSC 311)
• Discrete Structures (CSC 281)
• Introduction to Operating Systems and Networks (CTC 228)