A. Rohini

Rohini A currently serves as an Assistant Professor in the School of Computer Science and Engineering at Presidency University in Bengaluru, bringing over 15 years of comprehensive professional experience to her role. Her extensive teaching background spans multiple engineering institutions, including Sri Venkateswara College of Engineering, Chennai; Vels Institute of Science, Technology & Advanced Studies (VISTAS), Chennai; SRM Easwari Engineering College, Chennai; and Alpha College of Engineering, Bengaluru. In addition to her academic contributions, Ms. Rohini has gained valuable industry exposure as a Technical Trainer at CERPSOFT Solutions Pvt. Ltd., Bengaluru, and as a Development Engineer at Bharat Earth Movers Limited, Bengaluru, under the Government of India. She holds a Bachelor's degree(B.E) in Computer Science and Engineering from Golden Valley Institute of Technology (VTU, Karnataka) and a Master's degree(M.E) in Computer and Communication from Sri Venkateswara College of Engineering (Anna University, Chennai). Currently pursuing her PhD at Vels Institute of Science, Technology & Advanced Studies (VISTAS), Chennai, her research focus lies in Medical Image Processing, particularly in the domains of fMRI, AI, and ML. Ms. Rohini is recognized as a subject matter expert in various subjects such as Compiler Design, Operating Systems, Theory of Computation, Computing and Programming, Data Structures, and C Programming. She actively engages in sharing her expertise as a resource person, conducting technical sessions to provide training to students and faculty across different colleges. Her professional certifications include being an L&T Infotech Certified Trainer, Infosys Certified Trainer in “Data Analytics,” and an IBM Certified Database Associate in DB2. Furthermore, she has received training from IIT Madras CSIE. She holds lifetime professional memberships with ISTE and IAENG. As the Chairperson of the IEEE Women chapter at Presidency University, she continues to contribute significantly to the academic and professional development of her community.

Publications

Machine Learning for Geospatial Analysis: Enhancing Spatial Understanding and Decision-Making
Machine Learning for Geospatial Analysis: Enhancing Spatial Understanding and Decision-Making
Robin Rohit Vincent, E. Sakthivel, Meena Kumari, F. Nisha, A. Rohini. © 2024. 28 pages.
Historically, statistical techniques have been a major component of geographic analysis, which is the study of geographical phenomena using geographic data. But the emergence of...