Professor Profile
Comprehensive faculty member information and performance overview.
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Dr. Sarah Johnson
Professor of Computer Science
Department: Computer Science
Email: s.johnson@kiaalap.edu
Phone: +1 (555) 123-4567
Joining Date: August 15, 2018
Experience: 12 years
Employment: Full-Time
5
Courses156
Students52
PublicationsBiography
Dr. Sarah Johnson is a distinguished professor and leading researcher in artificial intelligence and machine learning. With over 12 years of academic experience, she has authored 52 peer-reviewed publications and holds 8 patents in AI technologies.
Her current research focuses on ethical AI systems and explainable machine learning, addressing critical challenges in AI transparency and responsible development.
Prior to joining Kiaalap University, Dr. Johnson served as a Senior Research Scientist at Stanford Research Institute, where she led groundbreaking projects in natural language processing and computer vision. Her work has been presented at premier conferences including NIPS, ICML, and AAAI.
Educational Background
Ph.D. in Computer Science
Stanford University • 2015
Specialization: Artificial Intelligence & Machine LearningM.S. in Computer Science
MIT • 2010
Specialization: Machine LearningB.S. in Computer Science
UC Berkeley • 2008
Magna Cum LaudeResearch Interests
Quick Stats
Contact Information
Current Teaching Load
Fall 2024 Semester • 156 Total Students
Course Distribution
Teaching Summary
Quick Actions
Active Courses
CS 401 - Machine Learning
Mon, Wed, Fri 10:00-11:00 AMRoom 205, CS Building
CS 301 - Data Structures
Tue, Thu 2:00-3:30 PMRoom 102, CS Building
CS 501 - AI Ethics
Wed 6:00-9:00 PMSeminar Room A
CS 101 - Introduction to Programming
Mon, Wed 1:00-2:30 PMLab 301, CS Building
Teaching History
| Course | Semester | Students | Avg Grade | Rating |
|---|---|---|---|---|
| CS 401 - Machine Learning | Spring 2024 | 42 | B+ | 4.8/5.0 |
| CS 301 - Data Structures | Fall 2023 | 45 | A- | 4.9/5.0 |
| CS 501 - AI Ethics | Spring 2023 | 28 | A | 4.7/5.0 |
| CS 101 - Intro Programming | Fall 2022 | 50 | B | 4.6/5.0 |
Research Portfolio
AI, Machine Learning & Ethics • 52 Publications • 2,847 Citations
2,847
Total CitationsActive Grants
Research Areas
Recent Publications (2022-2024)
"Ethical AI Systems"
2023Nature AI
Framework for responsible AI development addressing ethical challenges.
"ML Algorithms for NLP"
2022ACM Computing Surveys
Survey of state-of-the-art ML algorithms for language processing.
"Explainable AI"
2022AAAI Conference
Novel approaches for interpretable and transparent AI decisions.
"Deep Learning Security"
2024IEEE Security & Privacy
Adversarial attacks and defense mechanisms in deep neural networks.
Active Research Projects
Ethical AI Framework Development
NSF Grant #12345 • $850,000 • 2023-2026
Developing comprehensive frameworks for ethical AI development in healthcare.
Explainable ML Systems
NIH Grant • $1,200,000 • 2024-2027
Creating interpretable ML models for medical diagnosis with human-readable explanations.
ML Security Research
DARPA Grant • $650,000 • 2023-2025
Developing robust defenses against adversarial attacks in deep learning systems.
Applied AI Solutions
Industry Partnership • $450,000 • 2024-2026
Collaborative research on practical AI applications for enterprise automation.
Teaching Performance Analytics
8 Years of Data • 124 Student Reviews • 4.8/5.0 Overall Rating
Teaching Performance Trends
Course Rating Distribution
Student Evaluation Metrics
Based on 124 student reviews from the past 2 academic years
Performance Summary
4.8
Overall RatingRecent Recognition
Faculty Activity Timeline
Recent achievements, publications, and academic activities
Recent Activities
Published New Research Paper
Jan 15, 2025"Ethical AI Systems" accepted for publication in Nature AI journal
New Course Enrollment
Jan 12, 20253 new students enrolled in AI Ethics graduate seminar
Keynote Presentation
Jan 8, 2025Delivered keynote address at AI Ethics Summit 2024 in San Francisco
Grant Funding Received
Jan 3, 2025NSF approved $850,000 funding for ethical AI framework research
Course Materials Updated
Dec 28, 2024Machine Learning course syllabus revised for Spring 2025 semester
New PhD Mentorship
Dec 20, 2024Started mentoring 2 new PhD students specializing in AI research
Research Milestone
Dec 15, 2024Reached 2,847 total citations across all publications
Grant Approved
Dec 10, 2024NSF Grant for Ethical AI Framework research approved