MAHENDERGARH,21.05.25-The Central University of Haryana (CUH), Mahendergarh, inaugurated a UGC-sponsored Short Term Programme (STP) on “Applications of Computational Software in Mathematical Sciences and Engineering”. The programme is being organized by UGC-MMTTC, CUH and will run until May 24, 2025.

The inaugural ceremony was graced by the presence of the Vice Chancellor, Prof. (Dr.) Tankeshwar Kumar, who officially inaugurated the event. In his address, Prof. Kumar emphasized the critical role of Artificial Intelligence (AI) and Machine Learning (ML) in contemporary research. He highlighted how computational tools are transforming problem-solving and decision-making processes by simulating human intelligence through the use of algorithms, large datasets, and advanced hardware.
The programme has drawn 53 participants from 8 states across India, reflecting its national outreach and academic relevance. Over the course of six days, 24 technical sessions will be conducted, covering a variety of software tools including Maple, MATLAB, Python, SPSS, R Programming, Scilab, and Advanced Excel.
The Guest of Honour for the inaugural session was Prof. Suresh Kumar Sharma, Department of Statistics, Panjab University, Chandigarh. In his keynote address, Prof. Sharma spoke about the evolving landscape of academic research and stressed the importance of using modern computational tools to enhance the quality of data analysis and publication in reputed journals.
The session began with a traditional lamp lighting ceremony, followed by a welcome address by Prof. Rajesh Kumar Gupta, Dean, School of Basic Sciences and Programme Coordinator. Prof. Tanu Gupta, Deputy Director, MMTTC-CUH, introduced the Chief Guest, while the formal vote of thanks was delivered by Prof. Phool Singh, Department of Applied Sciences and Humanities, SoET, CUH.
The event witnessed enthusiastic participation from Deans, Heads of Departments, faculty members, research scholars, and registered participants. The programme promises to provide a valuable platform for capacity building and skill enhancement in computational methods for mathematical and engineering research.