Prof. Gyanendra Tiwary has a unique mix of IT Industry as well as teaching experience. He has 15 years of rich experience in the field of software development and teaching at various institutions across India. He has completed his B.E. in Computer Technology from Nagpur University, M. Tech in Computer Science and Engineering from Birla Institute of Technology, MESRA, Ranchi and currently perusing his PhD from Bhagwant University, Ajmer. He has cleared GATE six times between 2010 to 2021 and has also cleared UGC NET (National Eligibility Test) in June 2014. His research interests are in the field of Machine Learning and Deep Learning, Algorithm Design and Internet of Things. He has published four SCOPUS indexed journal articles and presented his research in three international conferences. He has also done three patents under Indian Patent Act 1970. He taught subjects such as Design and Analysis of Algorithms, Data Structures, Theory of Computation and Automata Theory, Compiler Design, Computer Networks, Digital Image Processing etc along with programming languages such as C, C++ and Python. He has attended five FDP (Faculty Development Programmes). Prof. Gyanendra Tiwary has keen interest in Competitive Coding and he is five-star coder at HackerRank. He has conducted multiple training programs for TCS NQT and Codeveta, Infosys InfyTQ and HackWithInfy and other national level hackathons. Prof. Tiwary has trained undergraduate students on multiple competitive coding platforms like HackerRank, Leet Code, Code Chef, Code Forces etc. He has also conducted Algorithm course for GATE aspirants on platforms like Unacademy. Apart from teaching and product development, Prof. Gyanendra Tiwary worked as faculty in charge for multiple MHRD programs like PMKVY-TI, Atal Incubation Centre etc. He has also worked as Head Training and Skill Development Cell during 2015-19.

Swayam Vidhata Ho Hey Manav, Hriday Me Viswaas Jagaao! Apni Atmajyoti Se Pulkit, Apne Surya Aap Ban Jaao!!

• Published a Research Paper on “Reconstruction of Partially Damaged Facial Image” in IJRET (International Journal for Research in Engineering and Technology). In Volume 2 Issue 5, Serial No-10.
• Published a Research Paper on “An Artificial Intelligence Technique for Covid-19 Detection with eXplainability using Lungs X-Ray Images” in IEEE Conference ICDCECE-2022.
• Published a research paper in International Journal on Recent and Innovation Trends in Computing and Communication, 2022, 10(10), pp. 59–64 “Video Based Deep CNN Model for Depression Detection”
• Published a research paper in International Journal of Intelligent Systems and Applications in Engineering, 2023, 11(7s), pp. 447–454 “Facial Expression Recognition Using Expression Generative Adversarial Network and Attention CNN”
• Research Interests: Digital Image Processing, Deep Learning and Algorithm Design

• Qualified UGC- NET-2014.

• Qualified GATE six times between 2010 to 2021