• EAPCET / ECET / ICET Code: VMEG

CSE (AI & ML)

Department of Computer Science and Engineering (Artificial Intelligence & Machine Learning)

Faculty Achievements

Faculty members of the Department of Computer Science and Engineering (AI & ML) have earned notable awards and professional recognition for their excellence in teaching, research, and innovation in emerging technologies. Through active involvement in high-impact research publications, funded projects, consultancy, and contributions to areas such as Artificial Intelligence, Machine Learning, Data Science, and Intelligent Systems, the faculty demonstrate strong technical expertise and professional ethics. Their engagement with professional bodies, participation in international conferences, organization of technical events, and involvement in industry collaborations further strengthen their academic and research profile. These recognitions reflect the department’s commitment to advancing AI & ML education, fostering innovation, and mentoring students with cutting-edge knowledge and industry-relevant skills aligned with current technological trends.

  • Faculty members have received Best Teacher Awards, Academic Excellence Awards, and institutional recognition for their contributions to teaching, mentoring, and academic development.
  • Several faculty members have achieved Elite, Elite+ Silver, and Elite+ Gold recognitions in NPTEL courses, with rankings in the Top 1%, Top 2%, and Top 5% categories.
  • Faculty actively contribute to curriculum development, academic reforms, and the implementation of Outcome-Based Education (OBE) aligned with university and accreditation requirements.
Awarded PhD
Best Head of the Department
  • Faculty members have received Best Paper Awards at national and international conferences for their research contributions in areas such as concrete technology, structural engineering, and soil–structure interaction.
  • Faculty research contributions have been recognized through national awards such as the Excellence in Student Engagement Award and Outstanding Thesis Awards from professional bodies.
  • The department actively promotes research publications, conference presentations, and postgraduate research supervision in emerging areas of AIML engineering.
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  • Faculty members actively participate in professional societies such as IEEE, ISTE, ACM, and other technical bodies.
  • Members of the department serve as executive committee members, reviewers, and contributors to professional organizations and academic forums.
  • Faculty collaborate with professional societies to organize technical lectures, conferences, workshops, and student activities.
  • Faculty members actively participate in SWAYAM and NPTEL online certification programs to update their knowledge in emerging AIML engineering domains.
  • Several faculties have earned Elite+, Gold, and Silver certifications, demonstrating strong commitment to continuous professional development.
  • Courses completed include Business Statistics, Soft Computing, Deep Learning, Python for Data Science, Machine Learning, Cloud Computing, Big Data Computing...etc.
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  • Faculty members actively engage with industry through consultancy services, technical reviews, and collaborative research projects. 
  • The department maintains interaction with construction companies, infrastructure organizations, and consulting agencies to address real-world engineering problems.
  • Industry experts are invited regularly for guest lectures, workshops, and technical discussions to bridge the gap between academia and professional practice.
  • Faculty contribute to society through technical guidance, outreach activities, and awareness programs related to infrastructure development and sustainability.
  • The department promotes sustainable construction practices, environmental awareness, and responsible engineering solutions through academic and extension activities.
  • Faculty expertise supports community-oriented initiatives such as data-driven decision-making, development of intelligent systems for public services, digital literacy programs, and AI-based solutions for real-world societal challenges.

Student Achievements

Students of the Department of Computer Science and Engineering (AI & ML) have demonstrated outstanding achievements in academics, research, and professional skill development. Many students have successfully completed NPTEL and other MOOC certifications with Elite and Silver grades in emerging areas such as Machine Learning, Deep Learning, Data Science, Artificial Intelligence, Cloud Computing, and Cybersecurity offered by premier institutes including IIT Madras, IIT Guwahati, IIT Roorkee, and IIT Kharagpur. Students have also secured Best Paper Awards and presented research work at national and international conferences in domains like AI, data analytics, and intelligent systems. They actively participate in hackathons, coding competitions, and technical events, winning accolades in symposiums and departmental fests such as Tech Fest, Hackathons, and coding challenges. In addition, students gain practical exposure through industry internships, live projects, and technical training programs in collaboration with leading IT companies and startups. Active involvement in professional bodies, coding clubs, innovation cells, and extracurricular activities such as NCC and community initiatives reflects the department’s strong focus on experiential learning, innovation, industry readiness, and holistic student development.

  • Students have demonstrated strong academic performance through NPTEL certifications with Elite and high scores in courses such as Python for Data Science, Machina learning, Deep Learning.
  • Several students successfully completed SWAYAM/NPTEL courses from IIT Madras, IIT Guwahati, IIT Roorkee, and IIT Kharagpur, enhancing their technical knowledge beyond the curriculum.
  • Students also secured high scores and Elite recognitions, reflecting their commitment to continuous learning and academic excellence.
  • Participation in professional certification programs and technical training courses has further strengthened their academic and analytical capabilities.
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  • Students actively participated in technical competitions such as Bridge Mock-up, Technical Quiz, and design competitions, demonstrating creativity and engineering problem-solving skills.
  • Teams have achieved notable recognition by securing prizes in technical competitions along with accolades in departmental techno-technical festivals.
  • Students also received Best Paper Awards at international conferences, showcasing their research and innovation capabilities in CSE (AI&ML) engineering domains.
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  • Students actively contribute to departmental professional bodies such as IEEE Student Branch, and technical clubs, organizing technical fests and academic activities.
  • Several students served as volunteers and coordinators for national level technical events and symposiums, gaining leadership and organizational experience.
  • Student teams also participated in technical fests, project expos, and innovation events, promoting peer learning and collaboration.
  • Students participate in innovation expos and sustainability initiatives, presenting ideas related to environmental protection and sustainable infrastructure.
  • Participation in training programs and skill-development initiatives organized by professional platforms such as Wadhwani Foundation supports employability and entrepreneurship awareness.
  • Students contribute to activities that promote technical awareness and responsible engineering practices within the academic community.
  • Engagement in workshops and outreach programs encourages application of engineering knowledge for societal benefit.
  • Students actively participate in sports events such as cricket, Volley ball and other inter-college competitions, demonstrating teamwork and discipline.
  • Participation in cultural and techno-cultural festivals encourages creativity and holistic personality development.
  • Students have represented the department in institutional sports competitions and cultural activities, contributing to campus life.
  • These activities help foster balanced development alongside academic and technical excellence.