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      • BSc Forensic Science

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      • BCom (Hons) Also with ACCA
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      • B Design

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Yogananda School of AI, Computers and Data Science

THE RankQS RankNAAC Ranking

PhD AI

Eligibility: Four-year graduation degree by research or two-year master’s degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related discipline with a minimum of 55% marks.

  • Duration: 3 Years
  • Admission Process: Shoolini University’s multiple-choice entrance test, and assessment of research aptitude through concept note & faculty interaction.
Apply Now
Download Brochure
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Yogananda School of AI, Computers and Data Science

PhD AI

Eligibility : Four-year graduation degree by research or two-year master’s degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related discipline with a minimum of 55% marks.

  • Duration : 3 Years
  • Admission Criteria : Shoolini University’s multiple-choice entrance test, and assessment of research aptitude through concept note & faculty interaction.
Apply Now
Download Brochure

PhD Artificial Intelligence (AI) is a 3-year doctoral program at Shoolini University. Artificial Intelligence is all about creating and training machines to find a solution that requires human intelligence. These systems are powered by machine learning, deep learning, or operating rules. 

The highly intensive program at this top research university revolves around the operation of computer systems that can match the decision-making power of humans. With the advent of technology in every sphere of our lives, this subject has gained wide popularity and interest. After all, no one could have imagined unlocking a phone with our faces a decade ago, and this is just the beginning of a revolution.

The highly acclaimed faculty at Shoolini University, who have research and industry experience, guide and mentor doctoral students to produce high-impact thesis/publications and file patents in their names. This helps students to build credentials in the field and launch their career. 

The faculty of international repute, brilliant student community, and excellent technical staff contribute to an environment of global excellence.

Shoolini has dedicated Centres of Excellence for Artificial Intelligence:

  • Centre of Excellence in Energy Science and Technology
  • Centre for Excellence in Visionary Learning Community of India (VLCI)

Shoolini scholars get global exposure through international exchange opportunities with renowned universities across the world. Prominent among these are, University of Arkansas, USA; Lanzhou University, China; University of Naples, Italy; Taipei Medical University, Taiwan; Gachon University, South Korea; South Dakota Mines University, USA.

Shoolini University is UGC Approved and NAAC Accredited.

Highlights

  • Valuable collaboration with IBM
  • Industry Recognised Certifications
  • Support from global giants like Microsoft & AWS Academy
  • Work with a small team of peers and your assigned mentors to conceptualise breakthrough applications
  • Learn from the best industry and academic mentors on live projects
  • Illustrious academicians from reputed universities in India and abroad, IIT and NIIITR, etc. 
  • AI Interview Coaching Prep with access to Siqandar, the world’s best interview prep coach

 

PhD AI Career Opportunities

  • Academics
  • Research Scientist
  • Data Scientist
  • Business Intelligence Developer
  • AI Data Analyst
  • AI Engineer
aaddoo
algo8
aws
IBM
Ikigai lab

Program Details

Semester Fee Structure
Academic Calendar

HP/J&K Domicile: ₹79,000

Others: ₹85,000

Top Faculty

Shubham Sharma
Shubham Sharma

M Tech (Himachal Pradesh University); MCA & BCA (University College of Business Studies, Avalodge, Himachal Pradesh)

Abhishek Tomar
Abhishek Tomar

Worked as Development Engineer at Altruist Technologies in Panchkula's HSIIDC IT Park; B Tech & M Tech in CSE.

Ravinder Kumar
Ravinder Kumar

13 years of teaching & research experience; member of the Institute of Electrical and Electronics Engineers (IEEE) & Professional Member of the Institute of Researchers.

Ashish Khosla
Ashish Khosla

Alumnus (PEC Chandigarh and IIM Calcutta) Ex (Citibank, HSBC, and UNB), MD (AADDOO.AI)

Pankaj Vaidya
Pankaj Vaidya

Professor, M.E., PhD (Drug Discovery utilising Machine Learning)

Neeraj Gandotra
Neeraj Gandotra

Teaching Experience spans 14 years; PhD Jaypee University of Information Technology

Gaurav Gupta
Gaurav Gupta

PhD (Computer Science Engineering) KSOU-VIT, Karnataka & Shoolini University, 13 years of expertise

Sonia
Sonia

UGC-NET, PhD (Computer Science) University of Delhi, ‘Syllabus & Scheme Coordinator for YSAICDS’

Anurag Rana
Anurag Rana

Post-Doc Research Fellow (CSE & Applied Artificial Intelligence) the University of Colorado, Member of International Association of Engineers (IAENG)

Namita Gandotra
Namita Gandotra

PhD (Soft Computing and its Applications in Decision Making), Over 9 years of expertise

Brij Bhushan Sharma
Brij Bhushan Sharma

PhD (Smart Agriculture, Internet of Things) Shoolini University, MATLAB In-charge

Bharti Thakur
Bharti Thakur

10 years of expertise, Pursuing Research (Data Mining and Machine Learning)

Arvind Sharma
Arvind Sharma

PhD (CSE with specialisation in Network Security) Rayat Bhara University, Faculty In-Charge ACM Student Chapter

Rather Gousia
Rather Gousia

PhD (CSE) National Institute of Technology, Srinagar, IEEE member

Ishfaq Ahmad Malik
Ishfaq Ahmad Malik

NET (AIR 013), GATE, PhD National Institute of Technology, Srinagar; MSc in Mathematics from the University of Kashmir; BSc (Non-Medical) from Govt. Degree College Baramulla (J&K).

Puneet Kapoor
Puneet Kapoor

GATE qualified, Masters in Computer Science (BITS, Pilani)

Kritika Rana
Kritika Rana

Academic background in Artificial Intelligence

Anandita Garg
Anandita Garg

GATE, ML Certification from Stanford University via MATLAB programming

Maya Thapa
Maya Thapa

Recipient Best Paper Presentation Award at 2nd International Conference of Women Researchers in Electronics & Computing, M Tech (CSE) the University Institute of Engineering and Technology, Panjab University

Ishani Sharma
Ishani Sharma

M Tech (CSE specialisation in Machine Learning & Deep Learning) Panjab University, Chandigarh

Shard
Shard

MS (Information Technology in Application Development) University of Sunderland, Great Britain, MSc (Mathematics) Shoolini University, 14 Years of Expertise

Akanksha Verma
Akanksha Verma

Saurabh Singh
Saurabh Singh

Vinay Pant
Vinay Pant

Sonu Badgujar
Sonu Badgujar

Ajay Chawla
Ajay Chawla

Janvi Sharma
Janvi Sharma

Ashish Sharma
Ashish Sharma

M Tech (Shoolini University); GATE AND UGC-NET qualified

Agrey Rubago Andrew
Agrey Rubago Andrew

M Tech (Huazhong University of Science and Technology, Wuhan, China); B Tech (Institute of Accountancy Arusha, Tanzania)

Preetika Kanwar
Preetika Kanwar

Works on AI-driven solutions, cybersecurity practices, and intelligent systems

Sai Kumar Gummadavelly
Sai Kumar Gummadavelly

B Tech CSE (Jayamukhi Institute of Technological Sciences); M Tech CSE (Vaagdevi College of Engineering)

Anjali Thakur
Anjali Thakur

Research Internship (Applied AI Research Lab, University of South Dakota, USA)

Abdulahi Mahammed Adem
Abdulahi Mahammed Adem

PhD CSE (Shoolini University); MTech (Andhra University); Bsc Computer Science (Mekelle University, Ethiopia)

Jagat Pal
Jagat Pal

M Tech Energy Engineering (IIT MandI); B Tech (ET MJPRU Bareilly); GATE qualified; Corporate & Academic Trainer (IKIGAI School of AI & IIT IFACET, Kanpur)

Anitya Kumar Gupta
Anitya Kumar Gupta

M Tech Computer Science (Illinois Institute of Technology, Chicago); Ramanujan Research Associate (Himachal Pradesh)

Hemant Sharma
Hemant Sharma

17+ years of professional experience; M Tech Computer Science & Engineering

Mahesh Kumar Sharma
Mahesh Kumar Sharma

17+ years of professional experience; M Tech (Computer Science & Engineering)

Jitender Sharma
Jitender Sharma

PhD Cybersecurity (Shoolini University); MCA (HPU)

Amar Raj Singh Suri
Amar Raj Singh Suri

2 decades of professional expertise; PhD (Mechanical Engineering)

Rakesh Kumar Gupta
Rakesh Kumar Gupta

Ruchika Sharma
Ruchika Sharma

PhD (Shoolini University); MCA (Himachal Pradesh Technical University, Hamirpur, India)

Abhishek Kumar
Abhishek Kumar

M Tech (Shoolini University); B Tech (Bhai Gurdas Institute of Engineering and Technology, Sangrur, Punjab)

Harshita Sharma
Harshita Sharma

M Tech (Shoolini University); B Tech (UIT, Shimla)

Gitesh Suri
Gitesh Suri

PhD Mathematics (Shoolini University)

Sahil Kashyap
Sahil Kashyap

PhD (Entropy-Based Models for Fuzzy Group Decision Making, Himachal Pradesh University)

Shubham Sharma
Shubham Sharma

M Tech (Himachal Pradesh University); MCA & BCA (University College of Business Studies, Avalodge, Himachal Pradesh)

Abhishek Tomar
Abhishek Tomar

Worked as Development Engineer at Altruist Technologies in Panchkula's HSIIDC IT Park; B Tech & M Tech in CSE.

Ravinder Kumar
Ravinder Kumar

13 years of teaching & research experience; member of the Institute of Electrical and Electronics Engineers (IEEE) & Professional Member of the Institute of Researchers.

Ashish Khosla
Ashish Khosla

Alumnus (PEC Chandigarh and IIM Calcutta) Ex (Citibank, HSBC, and UNB), MD (AADDOO.AI)

Pankaj Vaidya
Pankaj Vaidya

Professor, M.E., PhD (Drug Discovery utilising Machine Learning)

Neeraj Gandotra
Neeraj Gandotra

Teaching Experience spans 14 years; PhD Jaypee University of Information Technology

Gaurav Gupta
Gaurav Gupta

PhD (Computer Science Engineering) KSOU-VIT, Karnataka & Shoolini University, 13 years of expertise

Sonia
Sonia

UGC-NET, PhD (Computer Science) University of Delhi, ‘Syllabus & Scheme Coordinator for YSAICDS’

Anurag Rana
Anurag Rana

Post-Doc Research Fellow (CSE & Applied Artificial Intelligence) the University of Colorado, Member of International Association of Engineers (IAENG)

Namita Gandotra
Namita Gandotra

PhD (Soft Computing and its Applications in Decision Making), Over 9 years of expertise

Brij Bhushan Sharma
Brij Bhushan Sharma

PhD (Smart Agriculture, Internet of Things) Shoolini University, MATLAB In-charge

Bharti Thakur
Bharti Thakur

10 years of expertise, Pursuing Research (Data Mining and Machine Learning)

Arvind Sharma
Arvind Sharma

PhD (CSE with specialisation in Network Security) Rayat Bhara University, Faculty In-Charge ACM Student Chapter

Rather Gousia
Rather Gousia

PhD (CSE) National Institute of Technology, Srinagar, IEEE member

Ishfaq Ahmad Malik
Ishfaq Ahmad Malik

NET (AIR 013), GATE, PhD National Institute of Technology, Srinagar; MSc in Mathematics from the University of Kashmir; BSc (Non-Medical) from Govt. Degree College Baramulla (J&K).

Puneet Kapoor
Puneet Kapoor

GATE qualified, Masters in Computer Science (BITS, Pilani)

Kritika Rana
Kritika Rana

Academic background in Artificial Intelligence

Anandita Garg
Anandita Garg

GATE, ML Certification from Stanford University via MATLAB programming

Maya Thapa
Maya Thapa

Recipient Best Paper Presentation Award at 2nd International Conference of Women Researchers in Electronics & Computing, M Tech (CSE) the University Institute of Engineering and Technology, Panjab University

Ishani Sharma
Ishani Sharma

M Tech (CSE specialisation in Machine Learning & Deep Learning) Panjab University, Chandigarh

Shard
Shard

MS (Information Technology in Application Development) University of Sunderland, Great Britain, MSc (Mathematics) Shoolini University, 14 Years of Expertise

Akanksha Verma
Akanksha Verma

Saurabh Singh
Saurabh Singh

Vinay Pant
Vinay Pant

Sonu Badgujar
Sonu Badgujar

Ajay Chawla
Ajay Chawla

Janvi Sharma
Janvi Sharma

Ashish Sharma
Ashish Sharma

M Tech (Shoolini University); GATE AND UGC-NET qualified

Agrey Rubago Andrew
Agrey Rubago Andrew

M Tech (Huazhong University of Science and Technology, Wuhan, China); B Tech (Institute of Accountancy Arusha, Tanzania)

Preetika Kanwar
Preetika Kanwar

Works on AI-driven solutions, cybersecurity practices, and intelligent systems

Sai Kumar Gummadavelly
Sai Kumar Gummadavelly

B Tech CSE (Jayamukhi Institute of Technological Sciences); M Tech CSE (Vaagdevi College of Engineering)

Anjali Thakur
Anjali Thakur

Research Internship (Applied AI Research Lab, University of South Dakota, USA)

Abdulahi Mahammed Adem
Abdulahi Mahammed Adem

PhD CSE (Shoolini University); MTech (Andhra University); Bsc Computer Science (Mekelle University, Ethiopia)

Jagat Pal
Jagat Pal

M Tech Energy Engineering (IIT MandI); B Tech (ET MJPRU Bareilly); GATE qualified; Corporate & Academic Trainer (IKIGAI School of AI & IIT IFACET, Kanpur)

Anitya Kumar Gupta
Anitya Kumar Gupta

M Tech Computer Science (Illinois Institute of Technology, Chicago); Ramanujan Research Associate (Himachal Pradesh)

Hemant Sharma
Hemant Sharma

17+ years of professional experience; M Tech Computer Science & Engineering

Mahesh Kumar Sharma
Mahesh Kumar Sharma

17+ years of professional experience; M Tech (Computer Science & Engineering)

Jitender Sharma
Jitender Sharma

PhD Cybersecurity (Shoolini University); MCA (HPU)

Amar Raj Singh Suri
Amar Raj Singh Suri

2 decades of professional expertise; PhD (Mechanical Engineering)

Rakesh Kumar Gupta
Rakesh Kumar Gupta

Ruchika Sharma
Ruchika Sharma

PhD (Shoolini University); MCA (Himachal Pradesh Technical University, Hamirpur, India)

Abhishek Kumar
Abhishek Kumar

M Tech (Shoolini University); B Tech (Bhai Gurdas Institute of Engineering and Technology, Sangrur, Punjab)

Harshita Sharma
Harshita Sharma

M Tech (Shoolini University); B Tech (UIT, Shimla)

Gitesh Suri
Gitesh Suri

PhD Mathematics (Shoolini University)

Sahil Kashyap
Sahil Kashyap

PhD (Entropy-Based Models for Fuzzy Group Decision Making, Himachal Pradesh University)

Shubham Sharma
Shubham Sharma

M Tech (Himachal Pradesh University); MCA & BCA (University College of Business Studies, Avalodge, Himachal Pradesh)

Abhishek Tomar
Abhishek Tomar

Worked as Development Engineer at Altruist Technologies in Panchkula's HSIIDC IT Park; B Tech & M Tech in CSE.

Ravinder Kumar
Ravinder Kumar

13 years of teaching & research experience; member of the Institute of Electrical and Electronics Engineers (IEEE) & Professional Member of the Institute of Researchers.

Top Campus Recruiters

Some of the major companies that visit our campus and hire our graduates are:

Frequently Asked Questions

Why should I pursue a PhD AI from Shoolini University?

A PhD in AI at Shoolini University gives you industry-linked research exposure through collaborations with IBM, AWS, Microsoft, and Ikigai Academy. The university also supports learning through partners like NASSCOM, Anudeep Foundation, PEC–SIEMENS Centre of Excellence and, along with merit-based scholarships.

Who teaches PhD AI at Shoolini University?

PhD AI scholars at Shoolini University learn under accomplished faculty mentors with strong academic and research experience from IITs, NITs, IISc, IIMs, and globally recognised universities such as Stanford, Oxford, UPenn, and Columbia University.

What are the future opportunities after completing PhD Artificial Intelligence at Shoolini University?

After completing a PhD in Artificial Intelligence at Shoolini University, you can build a career in research, academia, and industry. Opportunities include roles in AI/ML, data science, and R&D in leading tech companies, research labs, and global institutions. Many scholars also choose post-doctoral research or start innovation-led ventures.

How do you expose students to industry experience?

PhD AI scholars at Shoolini get industry exposure through collaborations with global leaders like IBM, AWS, Microsoft, and Ikigai Academy. Students also gain practical exposure through industrial visits, expert talks, and industry-led learning that helps them become career-ready.

Is practical training a part of PhD Artificial Intelligence?

Yes. Practical training is a key part of the PhD Artificial Intelligence at Shoolini University. Scholars work in 104+ high-tech research labs and 10+ Centres of Excellence. They also benefit from specialised facilities like the AI and Futures Centre and the XR and AI Research Centre for advanced, hands-on research.

What placement opportunities are available for students who have completed a PhD AI ?

PhD AI Scholars at Shoolini are also supported through research mentorship, collaborations, and career networking for long-term opportunities.

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