CSE Dept conducts five-day online Faculty Development Program (FDP) on “Research Foundations and Perspectives of Data Science and Deep Learning”
To give exposure to the faculty members on research foundations and applications of Data Science and Deep learning from academics and industrial perspectives, the Dept of Computer Science and Engineering, in collaboration with ISTE, successfully conducted a five-day online Faculty Development Program (FDP) on “Research Foundations and Perspectives of Data Science and Deep Learning” during 12-16 February 2024.
12 February 2024
The inauguration of the FDP commenced with a silent prayer, followed by Dr Ramani Bai V (HoD, CSE Dept) delivering the welcome address. Dr Saji C B (Principal) presided over the event with a motivating presidential address, while Mr Suresh Lal (Executive Director, VICT) provided insightful felicitation remarks. The inauguration ceremony featured Dr Shailesh Shivan (AI/ML Enthusiast, Assistant Professor, DCS, CUSAT, Cochin, Kerala) inaugurating the FDP. Ms Rejusha T R (FDP Co-ordinator Asst Prof, CSE Dept) extended heartfelt thanks during the vote of thanks, setting the stage for an intellectually engaging occasion.
After the inaugural ceremony, Dr Shailesh Shivan covering the scope, lifecycle and applications of the field. The afternoon session dealt with the mathematical foundations of Data Science, the linear algebra, calculus and probability concepts that underpin data-driven methods.
13 February 2024
Dr. Bindu Krishnan (Senior Statistician at IBM India Software Labs) handled the statistical foundations of Data Science, bringing an industry view of how statistical thinking is applied in practice. In the afternoon, Dr. Remya K Sasi presented data exploration, visualization and preprocessing techniques, illustrated with different kinds of data.
14 February 2024
Dr. Anoop V S (Research Officer, School of Digital Sciences, Digital University Kerala) spoke on the research foundations of Data Science in the morning and on tools and technologies for Data Science research in the afternoon, guiding participants on framing research problems and choosing suitable tools.
15 February 2024
Dr. Shailesh Shivan returned to cover the development of deep learning models, along with their evaluation and optimization. The afternoon comprised case study demonstrations on Computer Vision problems, showing how the concepts are applied to real tasks
16 February 2024
Dr. Jeena K conducted case study demonstrations on Natural Language Processing problems and discussed research perspectives of Data Science, including data sets, publication avenues and funding agencies.
During the valedictory function, Dr. Ramani Bai V provided concluding remarks summarizing the key takeaways from the FDP, highlighting its enriching content and interactive nature. Participants shared their valuable feedback, emphasizing the program’s success in providing theoretical research foundations and practical applications in data science and deep learning. Ms Remya K R ( FDP Co-ordinator, Asst Prof CSE Dept) extended heartfelt thanks, officially concluding the event on a positive note.
The FDP saw active participation from faculty members of nationwide AICTE-approved colleges, with a total of 94 attendees, including 91 from external institutions and 3 internal faculty members. The Coordinators received excellent feedback from the participants, reflecting the program’s quality and impact. An assessment test was conducted at the conclusion of the program to gauge participants’ understanding and learning outcomes
The workshop was co-ordinated by Ms Remya K R (Co-ordinator, Asst Prof CSE Dept) and Ms Rejusha T R under the guidance of Dr Ramani Bai V (Convener, HoD, CSE Dept).
| The Editorial Team of News & Events joins the entire Vidya fraternity in extending hearty appreciations to Dr Ramani Bai , Ms Remya, Ms Rejusha and the entire CSE Dept on the successful execution of the FDP that offers an overview about the latest research trends in data science and improvement of skills and advancement of career !!! |









