Dr. B. V. V. Siva Prasad Appointed Adjunct Research Faculty in Malaysia
Anurag University is proud to congratulate Dr. B. V. V. Siva Prasad, Assistant Professor in the Department of Computer Science and Engineering, on being appointed as Adjunct Research Faculty under the Lincoln Global Postdoctoral Researcher (LGPR) Programme at Lincoln University College, Malaysia, with effect from 1st January 2026. An international adjunct research appointment is a significant professional honour, reflecting recognition of one's research credentials and scholarly contributions on a global stage.
Through this role, Dr. Siva Prasad will have the opportunity to collaborate with international researchers, contribute to cross-border research initiatives, and broaden the reach and impact of his work. Such appointments foster valuable academic partnerships and create pathways for joint research, knowledge exchange, and shared innovation between institutions and countries. This achievement also reflects positively on Anurag University, highlighting the international standing of its faculty and strengthening the university's global research connections.
It exemplifies the institution's ambition to engage meaningfully with the worldwide academic community and to advance research excellence beyond national boundaries. The university celebrates this distinguished appointment and congratulates Dr. B. V. V. Siva Prasad, confident that he will represent Anurag University with distinction and contribute richly to global research collaboration in his new role.
Written By
By AU Media Team
More Stories You Might Like
Advancing Hexaferrite–Spinel Nanocomposite Research
Dr. M. Srinivasa Reddy, Professor & HoD, Department of Physics, has published a research paper in Next Materials on the comparative synthesis of hexaferrite–spinel nanocomposites, featured in a Q1 journal indexed in WoS, SCIE and Scopus.
Advancing Image Understanding Through Deep Learning
Ms. Palla Chamundeswari, Assistant Professor, Department of AIML, has published the book “Deep Learning Pathways for Image Understanding and Computer Vision Analytics”, contributing to knowledge in Deep Learning and Computer Vision.
