Assistant Professor, School of Computer Science & Engineering, IILM University, Greater Noida, India
Intelligent systems with AI, from healthcare imaging to networks
I teach and research computer science, with work spanning machine learning, medical imaging, IoT and communication networks. I am always learning, and open to new domains and collaborations.
Based in Greater Noida, Uttar Pradesh, India (IST, UTC+5:30). Open to collaboration worldwide.
I am an Assistant Professor in the School of Computer Science and Engineering at IILM University, Greater Noida, India, with over ten years of teaching and academic experience across programming, operating systems, computer architecture, data mining and artificial intelligence.
My research spans machine learning, medical image analysis, IoT and communication systems. My doctoral thesis, A Novel Methodology of Early Lung Cancer Prediction Using Soft Computing, was submitted at Galgotias University in September 2026. I am now expanding into computer networks and connected intelligent systems, and I enjoy learning new domains and working with people from other fields.
I work at the intersection of artificial intelligence and connected systems. My doctoral work applies deep learning to medical imaging, and I am now expanding into computer networks, IoT and communication systems, while staying open to learning new domains and collaborating across them.
Early work on handoff and location management in ad-hoc networks; patents on IoT-enabled systems for gas-pipeline leakage detection, smart agriculture with drones and physiotherapy support; a book chapter on machine learning for the Internet of Drones; and recent work on AI-assisted hybrid fiber-optic and free-space optical communication. This is the direction I am now deepening.
My doctoral focus: hybrid CNN-Transformer and soft-computing models that classify lung cancer from CT images, with attention mechanisms, texture features, optimization-based feature selection and imbalance handling.
Machine learning and language models for practical problems: semantic resume and job matching with SBERT, financial sentiment analysis, online fraud detection, crop and pest recognition, driver drowsiness detection and recommender systems.
Full list with DOI links. Citation counts are on Google Scholar.
Research is a team effort. These are the co-authors I have published with most. Select a name to see our joint papers.
Outcome-based teaching with Python practicals, laboratory development, question banks and student mentoring. Course Coordinator for Data Mining and Warehousing. Faculty Coordinator, Smart India Hackathon 2026 Internal Finale.
“From concepts to application, and from learning to innovation.”
I believe that teaching is not simply about delivering a syllabus; it is about helping students develop the ability to think, question, apply, and innovate.
As an educator in Computer Science and Engineering, I strive to create a learning environment where theoretical concepts are connected with practical implementation and real-world problems. Whether teaching foundational subjects or emerging technologies, my focus is on helping students understand not only what they are learning, but also why it matters and how it can be applied.
I believe that students learn best when they are actively engaged in the learning process. Therefore, I encourage hands-on learning, problem-solving, experimentation, and discussion. I aim to make complex concepts approachable by connecting them with practical examples, computational tools, and contemporary technological developments.
My role as a teacher extends beyond the classroom. I see education as an opportunity to mentor students, encourage curiosity, build confidence, and inspire them to explore new ideas. I particularly value the integration of research, innovation, and technology into education, helping students develop the skills required to adapt to an evolving digital world.
Ultimately, my goal is to help students become not just technically competent professionals, but curious learners, critical thinkers, responsible innovators, and confident problem-solvers.
Poetry is a long-standing interest of mine. My poems are published in two international anthologies: The Elegance of Rhyming Poetry and For the Love of Poetry.
Open to research collaborations across AI, networks and applied computing, student supervision and invitations to review.
Google ScholarORCIDResearchIDLinkedInScopusAcademic CVConcise CV