Leadership & Governance
Prof. Tarundeep Singh Anand
Founder & Chancellor
Dr. Simon Mak
Prof. Sriram Ramshanker
Pro-Vice Chancellor & Professor Of Practice – Operations
Dr. Manjeet Kaur Anand
Faculty of General Management
Dr. Asha Bhatia
DEAN – RESEARCH & DOCTORAL PROGRAMS
Mrs. Beeba Harneet Anand
Head of Infra and Design
Dr. Sandeep Kumar Suhag
Registrar & Administration
Prof. Brig. G.P.S Cheema
Chairperson, Center of Excellence for Social, Sustainable & Spiritual Development
Prof. Elora Basumatary
Dean of Quality Enhancement Directorate (QED)
Dr. Kavitha Venkatachari
Dean of School of AI & Future Technologies
Dr. Waheeda Thomas
Dean of School of Management (UG) & Professor – Economics
Mr. Vijay Tandon
Dean of School of Management (PG)
Prof. Deepak Chawla
Mr. Rahul Dhaiya
Director of Strategy & Corporate Affairs
Prof. Tarundeep Singh Anand
Founder & Chancellor
Dr. Simon Mak
Mrs. Beeba Harneet Anand
Head of Infra and Design
Dr. Daniel Connolly
Ms. Ameera Shah
Promoter & Managing Director of Metropolis Healthcare Ltd.
Prof. Samir Saraiya
Chief Executive Officer of That’s Personal
Dr. Srinath Beldona
Dean & Professor of Management at Oklahoma City University
Dr. Sandeep Kumar Suhag
Registrar & Administration
Mr. Vikram Thakur
Director of Rico Appliances Pvt Ltd
Sai Venkateshwaran
Global Lead Partner, Board of Directors of KPMG in India, Partner at KPMG
Coumara Radja
Co-Founder & Managing Partner, Maxval Professionals LLP
Chandrasekhar Mukherjee
Advisory Board at Deep Learning Institute of India & Sr. President - HR & CHRO at Bhilosa Industries
AI Advisory Board
An “AI Advisory Board of Studies” for Universal AI University will play a crucial role in shaping and enhancing academic programs infused with artificial intelligence. Here are some key functions and responsibilities such a board might undertake:
Curriculum Development and Review:
– Collaborate with faculty members to design and update AI-related or AI-infused courses and programs.
– Ensure alignment with industry trends, technological advancements, and emerging research.
– Regularly review syllabi, teaching methodologies, and evaluation processes.
Quality Assurance and Relevance:
– Assess the relevance and quality of AI programs for different courses e.g. MBA, BBA, BCom, BA, BE, ME etc.
– Monitor program outcomes and student performance.
– Provide feedback on curriculum effectiveness and suggest improvements.
Industry and Research Collaboration:
– Foster partnerships with AI companies, research institutions, and industry experts.
– Facilitate internships, joint projects, and guest lectures.
– Bridge the gap between academia and real-world AI applications.
Advising and Guidance:
– Offer insights on AI career paths, skill requirements, and job market trends.
– Advise students on course selection, specialization, and career development.
– Provide mentorship and networking opportunities.
Ethical Considerations and Best Practices:
– Discuss ethical implications of AI technologies.
– Promote responsible AI development and deployment.
– Encourage research on fairness, transparency, and bias mitigation.
Research and Innovation:
– Encourage faculty and students to engage in AI research.
– Identify funding opportunities and collaborative projects.
– Stay informed about cutting-edge AI breakthroughs.
Program Promotion and Outreach:
– Act as ambassadors for AI programs and or AI infused programs within and outside the university.
– Organize workshops, seminars, and conferences.
– Promote AI education and its societal impact.
“AI Advisory Board of Studies” will not have formal authority to govern the institution but will serve as a valuable resource for informed decision-making and program enhancement.
Dr. Simon Mak
Mr. Kundana K Lal
Chairperson – AI Advisory Board
Prof. Sriram Ramshanker
Member – AI Advisory Board