Adichunchanagiri University
Ph.D. Computer Science
& Engineering
Doctoral research programme in AI, data science, cybersecurity, and software engineering — producing peer-reviewed research and computational innovation.
About the Programme
Artificial Intelligence Deep learning, reinforcement learning, computer vision, and NLP research
Data Science Big data analytics, knowledge graphs, recommender systems, and data mining
Cybersecurity Network security, cryptographic protocols, malware analysis, and privacy
Computer Networks SDN, 5G/6G, network optimisation, and wireless sensor networks
Research Output Scopus/WoS indexed papers, conference proceedings, and patents
Industry Collaboration Joint research with tech companies and government agencies
Department Insights

Leadership, Collaborations & Campus Pulse

A close-up view of the department — the Head of Department’s message, industry partnerships, laboratory infrastructure and ongoing academic activity.

Dr. Shashikala S V
From the Head of Department
Dr. Shashikala S V
Professor and HOD, Dept. of Computer Science
M.Tech, Ph.D
Doctoral research in this area is anchored by the Computer Science department.

Dear colleagues and students, I welcome you all to the Department of Computer Science and Engineering.

Computer Science and Engineering is committed to providing technical education to the students with leadership qualities through which they can create employment to others. The department has well qualified and dedicated faculty. The objective of the department is to prepare students for a successful career in Industry, Research and academics to meet the needs of growing technology. The department is focused on Outcome Based Education by innovative pedagogy, Industry-Academic interaction and doing real time projects.

The faculty members are encouraged to publish research papers in reputed journals, participate in the Faculty Development Program and workshop through a well-supported system. Department has good infrastructure and computing facilities and provides a conducive environment to promote academic and research excellence in the department. The department is associated with memberships of professional bodies such as CSI, IEEE, ISTE and Institution of Engineers.

Students have taken part in various coding competitions like Hackathon and won National Level top positions. Students also bag prizes in academics as well in co-curricular activities. Students secured a gold medal at university level examinations, and university toppers at VTU examinations. Students showcase their talent in various sports and intercollegiate technical events and bag prizes.

I wish all the Students and Faculty a great academic career.

Laboratories & Facilities
8 laboratories
Programming Lab
Data Structures & Algorithms Lab
Database Management Lab
Operating Systems Lab
Computer Networks Lab
Web & Mobile App Lab
AI & Machine Learning Lab
Project & Mini-Project Lab

Labs support the theory curriculum with hands-on practice, small-group demonstrations and project work. Specific equipment & scheduling is shared with enrolled students each semester.

Department Events
Talks · Workshops · Visits
No events scheduled currently
Technical talks, workshops and industrial visits will be listed here as they are announced.
Department Newsletter
Edition
Admission & Eligibility
ProgrammePh.D. Computer Science & Engineering
Duration3–6 Years
ModeFull-time & Part-time
EligibilityM.Tech/MCA/M.Sc CS · 55%
AccreditationNAAC A+ · ACU Recognised
AdmissionEntrance Test + Interview

Eligibility Criteria

  • M.Tech/M.E. in Computer Science, Information Technology, or allied branches with minimum 55% aggregate from a recognised university
  • MCA or M.Sc in Computer Science with minimum 55% aggregate and research aptitude
  • 50% aggregate for SC/ST/OBC candidates as per UGC/university norms
  • Candidates must qualify the ACU doctoral entrance test and research interview
  • Part-time candidates must have minimum two years of professional experience in a relevant field
Research Areas
AI & Machine Learning

Deep neural networks, GANs, transfer learning, explainable AI.

DNNGANsXAI
Data Science & Big Data

Distributed computing, knowledge discovery, predictive models.

HadoopSparkMining
Cybersecurity & Privacy

Intrusion detection, blockchain security, homomorphic encryption.

IDSBlockchainEncryption
Computer Networks

Software-defined networking, 5G/6G protocols, ad-hoc networks.

SDN5GAd-hoc
Software Engineering

Formal verification, model-driven development, DevOps research.

FormalMDDDevOps
IoT & Cloud Computing

Edge intelligence, fog computing, serverless architectures.

EdgeFogServerless

Advancing the frontiers of computational science through rigorous doctoral inquiry and original research contributions.

Department of Computer Science & Engineering, BGSIT
Vision & Mission
Vision

Leading centre for doctoral CS research producing scholars who advance computing knowledge.

Mission
  • Foster independent research capabilities in emerging areas of computer science
  • Support publication in top-tier venues including IEEE, ACM, and Elsevier journals
  • Develop future faculty and R&D leaders who drive computational innovation

Programme Educational Objectives

1Conduct independent original research in computer science that contributes new knowledge to the field.
2Publish in high-impact venues including IEEE, ACM, and Elsevier journals and top-tier international conferences.
3Prepare graduates for faculty positions in universities and R&D leadership roles in industry and government.
4Address real-world computational challenges through ethical, innovative, and socially responsible research.
Faculty Roster

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Publications & Resources
Research Guidelines ACU Ph.D. Regulations Download PDF
Coursework Details Pre-thesis Coursework Download PDF
Thesis Format Guide ACU Thesis Template Download PDF
Career Opportunities
University Professor
AI Research Scientist
Principal Investigator
R&D Director
Chief Technology Officer
Data Science Lead
Cybersecurity Researcher
Government Scientist
Post-doctoral Fellow
Patent Analyst
Startup Founder
Independent Researcher
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