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MS. Sonali Jolly

MS. SONALI JOLLY

Assistant Professor
Profile

Ms Sonali Jolly is an Assistant Professor with a strong academic background in Computer Science and a passion for teaching, research, and innovation in sustainable, energy-efficient software systems. Her academic interests span software engineering, data analytics, artificial intelligence, and real-time multiprocessor systems with a keen focus on the intersection of software efficiency and sustainability. She believes in fostering critical thinking and research-driven learning among students to prepare them for modern technological challenges.

Email

Email Id

sonali.jolly@jssuninoida.edu.in
Education
  • PhD (Pursuing): Jaypee Institute of Information Technology (JIIT), Noida
  • MCA (Master of Computer Applications) [UPTU], [B.I.T], Meerut
  • BCA (Bachelor of Computer Applications) [CCS], [B.I.T], Meerut
Teaching
  • Data Structures and Algorithms
  • Database Management Systems (DBMS)
  • Artificial Intelligence
  • Cloud Computing
  • Software Engineering
  • Python Programming
Awards & Recognition
  • Presented a paper at an IEEE- Scopus-indexed international Conference.
  • Recipient of completed 40 hr of virtual training by APEX on AI.
  • Recognized as a Mentor in AI by TCS- FDP
  • Recognized for innovative teaching and mentorship in computer science education.
  • Certified by ATAL Academy - the future of AI and ML: Balancing Innovation, Ethics and Industry Needs.
  • Mentored students for university-level research and project competitions.
Social Engagement
  • Actively involved in mentoring undergraduate and postgraduate students for academic and research excellence.
  • Participates in academic outreach programs and university-level events.
  • Engages in initiatives promoting sustainable computing and women in technology.
  • Contributes to awareness programs related to digital literacy and environmentally responsible computing.
Research Interest
  • Sustainable and Energy-Efficient Software
  • Artificial Intelligence and Reinforcement Learning in Scheduling
  • Big Data Analytics
  • Deep Learning
Publication- Conferences
  • IEEE Indexed international Conference Paper (Accepted and presented), yet to be published.
Publication- Books
  • A Book Data Structure & Analysis of Algorithms with IIP Proceedings ISBN: 978-93-6252-906-0
Technical Skills
  • Python
  • C/C++
  • Latex
  • MS office
  • ML
  • R
Workshops/STPs/FDPs/Online Courses
  • Mentor in AI by TCS APEX- FDP, 2025
  • Atal FDP The Future Trends of ML and AI, 2025
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