Dr. Durgesh Srivastava - Soft Computing - Best Researcher Award 🏆
Chitkara university - India
Professional Profiles
Early Academic Pursuits
His academic journey began with a strong foundation in Information Technology at Meerut Institute of Engineering and Technology, where he pursued his Bachelor of Technology degree. His passion for computer science led him to pursue a Master of Engineering in Software Engineering at Birla Institute of Technology, Mesra, where he excelled with a remarkable GPA of 7.80/10.00. Dr. Srivastava's quest for knowledge and academic excellence continued as he pursued his doctoral studies in Computer Science & Engineering at I.K.G. Punjab Technical University, where he delved into the realm of soft computing, focusing on developing frameworks for intrusion detection dataset classification to reduce false positive rates.
Professional Endeavors
His professional journey spans over 15 years, during which he has held various teaching and leadership positions in esteemed institutions. He currently serves as an Associate Professor and Head of Academic Operations in the Department of Computer Science and Engineering at Chitkara University Institute of Engineering & Technology. Prior to this, he served as an Associate Professor and Program Leader in Artificial Intelligence and Machine Learning at AIT-CSE, Chandigarh University. His academic odyssey commenced as a Teaching Assistant during his Master of Engineering program at BIT, Mesra, followed by roles as an Assistant Professor and M.Tech Coordinator at BRCM CET, Bahal.
Contributions and Research Focus in Soft Computing
His research endeavors center around machine learning, soft computing, artificial intelligence, and natural language processing. His doctoral thesis, titled "Soft Computing Framework for Classification of Intrusion Detection Dataset to Reduce False Positive Rate," showcases his expertise in developing innovative solutions to complex real-world problems using soft computing techniques. Additionally, his contributions to data classification using support vector machines and rough set-based ensemble systems demonstrate his proficiency in algorithmic design and application.
Accolades and Recognition
His scholarly contributions have been recognized through various accolades and honors throughout his career. His significant achievements include supervising numerous postgraduate and doctoral theses, with one Ph.D. completed and two ongoing under his guidance. His dedication to teaching and research excellence has earned him admiration and respect from his peers and students alike, further solidifying his reputation as a distinguished researcher and educator in the field of computer science.
Impact and Influence
His research and academic pursuits have made a profound impact on the field of computer science, particularly in the areas of machine learning and soft computing. His contributions have not only advanced the theoretical understanding of these domains but have also led to practical applications in intrusion detection, data classification, and artificial intelligence. Through his mentorship and guidance, he has inspired the next generation of researchers and professionals to explore the frontiers of technology and contribute meaningfully to society.