Dr. Alistair J. Vance

Associate Professor of Cognitive Science

I am an Associate Professor at the Center for Advanced Cognition. My research investigates the neural mechanisms underlying memory formation and retrieval using advanced fMRI and computational modeling.

My work bridges the gap between theoretical psychology and practical application, helping develop better therapeutic strategies for memory disorders. I have collaborated extensively with both the Psychology and Computer Science departments.

1,500+

CITATIONS

28

Peer-Reviewed Papers

15

PhD Supervisors

$2M+

Grant Funding

Featured

2024

Real-time EEG decoding for paralysis patients

Titled: "The Plastic Brain in the Digital Age."

Recipient of the Young Scientist Award

2023

Awarded by the National Science Foundation

Titled: "The Plastic Brain in the Digital Age."

2024

Real-time EEG decoding for paralysis patients

Titled: "The Plastic Brain in the Digital Age."

Research Areas

Machine Learning

Developing novel algorithms for pattern recognition and predictive analytics in complex systems

Signal Processing

Advanced techniques for analyzing and interpreting electrical signals in various applications

IoT Systems

Designing interconnected systems with focus on data acquisition and security

Embedded Systems

Creating optimized solutions for real-time signal processing applications

Cybersecurity

Developing security solutions for critical infrastructure and IoT networks

Data Analytics

Designing interconnected systems with focus on data acquisition and security

Selected Publications

Nature Machine Intelligence (2023)

Advanced Signal Processing Techniques for IoT Applications in Smart Cities

Choudhury, S.M., Ahmed, R., Karim, M., & Hassan, S.

IEEE Transactions on Signal Processing, Vol. 71, pp. 1234-1248, 2023

Nature Machine Intelligence (2023)

Advanced Signal Processing Techniques for IoT Applications in Smart Cities

Choudhury, S.M., Ahmed, R., Karim, M., & Hassan, S.

IEEE Transactions on Signal Processing, Vol. 71, pp. 1234-1248, 2023

Neural Correlates of Virtual Navigation (2023)

Nature Neuroscience (2023) | Cited by: 120

Neural Correlates of Virtual Navigation (2021)

Nature Neuroscience (2023) | Cited by: 120

Neural Correlates of Virtual Navigation

Nature Neuroscience (2023) | Cited by: 120

Publication Highlights

2023

Adversarial Robustness in Reinforcement Learning.

Proc. of ICML

User Trust in Automated Driving Systems. IEEE Transactions on Human-Machine Systems.

IEEE Transactions on Human-Machine Systems. Full Text Available

2022

Real-time Eye Tracking for UX Analysis.

Proc. of CVPR.

Data Augmentation Strategies for Low-Resource Languages.

ACL Findings

Ethical Considerations in Generative AI

AI & Society Journal

2021

Real-time Eye Tracking for UX Analysis.

Proc. of CVPR.

Research Projects

Fund Granted

Healthcare

Machine Learning

An intelligent tutoring system that adapts to student frustration levels via sentiment analysis.

Education

NLP

Machine Learning

A platform for sharing sensitive research datasets using differential privacy techniques.

Privacy

Collaboration

Machine Learning

A platform for sharing sensitive research datasets using differential privacy techniques.

Active

Real-Time AI Infrastructure for Emergency Response (RAID)'

Developing a scalable AI platform to analyze live data streams (video, sensor, social media) for disaster management teams.

Funded by National Science Foundation (NSF), Portal Link

Planning

Robustness in Autonomous Systems

Investigating methods to make AI-driven systems (cars, drones) more resilient to unexpected real-world conditions and adversarial attacks.

Funded by Defense Advanced Research Projects Agency (DARPA), Portal Link

Completed

Low-Latency ML on Edge Devices

A project focused on optimizing machine learning models to run efficiently on low-power hardware for IoT applications.

Internal University Grant, Portal Link

Academic Experience

2021 – Present

Associate Professor & Principal Investigator

Department of Computer Science & Engineering, NovaTech University

Leading research in machine learning, signal processing, and data-driven systems.Supervising graduate students and doctoral researchers.Teaching advanced courses in AI, pattern recognition, and research methods.

2028 – 2021

Associate Professor & Principal Investigator

Department of Computer Science & Engineering, NovaTech University

Leading research in machine learning, signal processing, and data-driven systems.Supervising graduate students and doctoral researchers.Teaching advanced courses in AI, pattern recognition, and research methods.

Research Group

Current PhD Students

Ahmed Rahman

PhD Candidate

Research: IoT Security and Privacy in Smart Cities

Fatima Khan

PhD Candidate

Research: Deep Learning for Biomedical Signal Processing

Mohammad Ali

PhD Candidate

Research: Wireless Communication Systems

Current MS Students

Sarah Islam

MS Student

Research: Machine Learning for Pattern Recognition

David Chen

MS Student

Research: Embedded Systems Design

Priya Sharma

MS Student

Research: Data Analytics for Smart Grids

Alumni

Dr. Nazmul Hassan

PhD 2022

Current Position: Assistant Professor, University of Dhaka

Dr. Ayesha Siddiqui

PhD 2021

Current Position: Research Scientist, IBM Research

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Get In Touch

alistair.vance@university.edu

Room 404, CS Building

+1 (555) 123-4567

Office Hours:

Monday: 2pm - 4pm

Wednesday: 10am - 12pm

© Dr. Alistair. All rights reserved.

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