Contact Information
I welcome inquiries from students, researchers, collaborators, and industry professionals. Please don’t hesitate to reach out!
Primary Contact
Email: academic@university.edu
Office: Computer Science Building, Room 314
Phone: (555) 123-4567
Mailing Address:
Department of Computer Science
University of Technology
123 University Drive
Tech City, CA 94000
Office Hours
For Students:
- Tuesdays & Thursdays: 2:00 PM - 4:00 PM
- By Appointment: Available upon request
Location: CS Building, Room 314
During peak periods (exam weeks, project deadlines), additional office hours may be scheduled.
Academic Profiles
ORCID: 0000-0000-0000-0000
Google Scholar: Profile Link
GitHub: @username
LinkedIn: Professional Profile
Research Collaboration
I’m always interested in discussing potential collaborations with:
Academic Researchers
- Joint Research Projects: Multi-institutional research initiatives
- Grant Proposals: NSF, NIH, and other funding opportunities
- Student Exchanges: Graduate student visits and collaborations
- Conference Organization: Workshop and conference planning
Industry Partners
- Applied Research: Real-world problem solving and technology transfer
- Consulting: Technical advisory and strategic guidance
- Internship Programs: Student placement and mentorship opportunities
- Technology Transfer: Commercialization of research outcomes
International Collaboration
- Visiting Positions: Sabbatical and short-term research visits
- Global Research Networks: Multi-country research initiatives
- Exchange Programs: Faculty and student exchange opportunities
- Conference Speaking: International keynotes and presentations
For Prospective Students
Graduate Students (Ph.D. & Master’s)
Application Inquiries: Please include:
- Current CV/Resume
- Research interests and experience
- Relevant coursework and publications
- Career goals and motivation
Research Opportunities: Multiple openings available in:
- Neural network optimization
- Sustainable AI and green computing
- Theoretical machine learning
- AI ethics and responsible computing
Undergraduate Students
Research Positions: Available for motivated undergraduates
- Prerequisites: Strong programming skills, mathematics background
- Commitment: Minimum one semester, preferably longer
- Opportunities: Independent study, honors thesis, summer research
Course Questions: For questions about specific courses, please:
- Check the course website first
- Attend office hours for detailed discussions
- Email for urgent or time-sensitive matters
Media & Press Inquiries
I’m available for media interviews and expert commentary on:
- Artificial Intelligence Trends: Current developments and future directions
- AI Ethics: Responsible development and deployment
- Higher Education: STEM education and research policy
- Technology Policy: AI regulation and societal impact
Media Contact: academic@university.edu
Response Time: Within 24 hours for urgent requests
Speaking Engagements
Available for various speaking opportunities:
Academic Venues
- Conference keynotes and invited talks
- University seminars and colloquia
- Workshop presentations
- Panel discussions
Industry Events
- Corporate workshops and training
- Technology conferences
- Professional development seminars
- Executive briefings
Public Engagement
- Community education events
- K-12 STEM outreach
- Science cafés and public lectures
- Media appearances and interviews
Booking Information: Contact me directly to discuss availability, topics, and logistics.
Technical Support
Website Issues
This website is built with Jekyll and hosted on GitHub Pages. For technical issues:
- Bug Reports: Please describe the issue and your browser/device
- Feature Requests: Suggestions for improvements are welcome
- Accessibility: Report any accessibility barriers you encounter
Course Websites
For technical issues with course materials:
- Canvas/LMS Problems: Contact university IT support first
- Assignment Submissions: Email me directly for urgent issues
- Gradebook Questions: Discuss during office hours
Professional Services
I provide various professional services to the academic and industry communities:
Peer Review
- Journal Manuscripts: Regular reviewer for top-tier venues
- Grant Proposals: NSF, NIH, and international funding agencies
- Conference Papers: Program committee member for major conferences
- Tenure Reviews: External evaluator for promotion and tenure cases
Editorial Services
- Editorial Boards: Member of several journal editorial boards
- Special Issues: Guest editor for thematic collections
- Book Reviews: Technical book evaluation and commentary
Consulting
- Technical Advisory: Strategic guidance for AI/ML initiatives
- Research Direction: Long-term research planning and execution
- Technology Assessment: Evaluation of AI systems and approaches
- Expert Testimony: Technical expertise for legal and policy matters
Response Times
I aim to respond to all inquiries promptly:
- Urgent Academic Matters: Within 24 hours
- General Inquiries: Within 2-3 business days
- Research Collaboration: Within 1 week
- Media Requests: Within 24 hours
Note: Response times may be longer during:
- Conference travel periods
- Sabbatical leaves
- University holidays
- High-volume periods (application deadlines, etc.)
Preferred Communication
- Email: Primary method for all professional communication
- Video Calls: Available for complex discussions and collaboration planning
- Phone: Reserved for urgent matters or pre-scheduled calls
- Social Media: Not monitored regularly for professional inquiries
Location & Directions
University of Technology
Computer Science Department
123 University Drive
Tech City, CA 94000
Public Transportation: Metro Blue Line to University Station
Parking: Visitor parking available in Structure B
Campus Map: Interactive Map
Building Access: The Computer Science building is open 7 AM - 10 PM on weekdays. After hours access requires key card.
I look forward to hearing from you and exploring opportunities for collaboration, learning, and advancing the field of computer science together!