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Research & Innovation

Research at the School of Computer Science and Engineering is driven by innovation, societal relevance, and real-world impact. Our faculty and scholars engage in high-quality research published in reputed SCI/Scopus journals and supported by government and industry-funded projects.

Faculty with strong publication record, patents, and externally funded projects.

Research groups working across AI, healthcare analytics, computer vision, and digital transformation.

Interdisciplinary collaborations with engineering, management, psychology, biosciences, and public policy.

Encouragement for translational research that solves industry and societal problems.

Center of Excellence for AI, Robotics and Cyber Security is there for guiding and promoting research activities in different domain.

Labs & Infrastructure

01

AI Center of Excellence
dedicated to research in machine learning, deep learning, and applied AI.

02

Robotics Center of Excellence
dedicated to innovation in autonomous systems, intelligent robotics, and human–machine interaction.

03

Cyber Security Center of Excellence
focused on advanced research in network security, digital forensics, cyber defense, and threat intelligence.

04

Advanced Computing Lab
high-performance computing systems and GPU-enabled environments.

05

Cyber Security & Digital Forensics Lab
tools for penetration testing, malware analysis, and security analytics.

06

IoT & Embedded Systems Lab
microcontrollers, drone kits, sensor kits, and prototyping facilities.

07

Software Engineering & Full Stack Lab
development tools for modern software applications.

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University Library
access to digital databases, research journals, and e-resources. • Modern classrooms, dedicated research workspaces, and university-wide Wi-Fi support scholarly activities.

Special Features / Why Choose Our PhD Programme

01

Strong Supervisory Expertise

Highly qualified faculty with recognized research credentials and active publication record.

02

Modern Research Ecosystem

Access to advanced laboratories, tools, and computational resources.

03

Interdisciplinary Opportunities

Scholars can collaborate across multiple schools within the University.

04

Outcome-Oriented Research Culture

Regular training in research methods, writing workshops, and project development.

05

Support for Publications

Guidance for SCI/Scopus publications, conference participation, and patent filing.

06

Flexible & Scholar-Centric Approach

Coursework, supervision, and review mechanisms aligned with NEP 2020 and UGC regulations.

07

Innovation & Entrepreneurship Support

Access to IILM’s incubation facilities for technology commercialization.

08

Ethics & Quality Assurance

Strong review system through the Department Research Committee (DRC) and University Research Committee (URC).

Focus Areas of Research

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Artificial Intelligence & Machine Learning

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Deep Learning & Neural Networks

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Computer Vision & Image Processing

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Natural Language Processing & Generative AI

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Cyber Security & Digital Forensics

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Cloud Computing & Distributed Systems

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Internet of Things (IoT) & Smart Systems

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Human-Computer Interaction

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Healthcare Analytics & Bio-Signal Processing

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Blockchain & FinTech Applications

 
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ADMISSION OPEN FOR 2026 INTAKE
 

Prof. Shamik Tiwari (Professor & Dean, School of CSE)

Prof. Shamik Tiwari holds B.Tech and M.Tech degrees in Computer Science & Engineering and completed his Ph.D. in the domain of Computer Science. With more than 18 SCI publications, 35 Scopus-indexed papers, and multiple granted patents, he has supervised five Ph.D. candidates to completion. His research expertise spans Medical Image Processing, Artificial Intelligence, and Large Language Models (LLMs). With extensive academic leadership experience, he continues to guide high-impact research and innovation in emerging AI domains. Know More

Dr. Anurag Jain (Professor)

Prof. Anurag Jain completed his Ph.D. with specialization in Cloud Computing. He has supervised five Ph.D. candidates and has authored numerous SCI and Scopus publications. His research expertise includes Artificial Intelligence and its applications, with contributions toward industry-relevant and scalable intelligent systems. Know More

Dr. Umang Garg (Associate Professor & Cluster Lead – Cyber Security)

Dr. Umang Garg completed his Ph.D. specializing in Detection and Mitigation of IoT Botnets. With over 46 Scopus publications and 10 patents, his research extends across IoT security, network protection, and intelligent computing systems. He is also UGC-NET qualified, demonstrating strong academic rigor in computing research. Know More

Dr. Akshat Agrawal (Associate Professor & Cluster Lead (Data & Infrastructure Solutions)) 

Dr. Akshat Agrawal completed his Ph.D. in the area of Speech Processing, NLP, Machine Learning, and Meta-Heuristic Algorithms. His diversified research profile includes multiple SCI publications, patents, and government-funded projects (as Co-PI). He actively collaborates with international research groups and mentors scholars in advanced AI and linguistic computation. Know More

Dr. Amar Shukla (Associate Professor & Cluster Lead – Intelligent Systems)

Dr. Amar Shukla completed his Ph.D. in Medical Image Processing and Artificial Intelligence. His research spans intelligent healthcare systems, and he has multiple publications, patents, and project contributions, including participation in BIRAC initiatives. He leads the Intelligent Systems research cluster, fostering collaborative innovation. Know More

Dr. Sapna Arora (Associate Professor)

Dr. Sapna Arora completed her Ph.D. in the field of Machine Learning. She specializes in Data Mining and ML, with significant contributions through Scopus-indexed publications. Her research focuses on intelligent systems and data-driven computational approaches. She is actively engaged in guiding doctoral research in data-centric AI applications. Know More

Dr. Pooja Batra Nagpal (Associate Professor)

Dr. Pooja Batra Nagpal earned her doctoral degree focusing on Software Engineering, Agile Methodologies, and DevOps. She has supervised one Ph.D. scholar and published widely in SCI and Scopus journals. Her research interests include AI, Machine Learning, Cybersecurity, Agile Methodologies, and DevOps, contributing substantially to interdisciplinary software engineering research. Know More

Dr. Aarti Chugh (Associate Professor)

Dr. Aarti Chugh completed her Ph.D. in Big Data and AI. She has guided research scholars as a Co-Supervisor and has an impressive publication record including SCI, Scopus journals, and book chapters. Her expertise covers AI, Big Data, and Cybersecurity, and she remains actively involved in national research projects and emerging digital research ecosystems. Know More

Dr. Puja Acharya (Associate Professor) 

Dr. Puja Acharya completed her Ph.D. in Antenna Design. Her multidisciplinary expertise spans Drone and Computer Vision technologies, Brain–Computer Interfaces, and Oxidation-Reduction systems. She has authored widely in Scopus journals and filed multiple patents, contributing to advancements in applied electronics and intelligent systems. Know More

Dr. Pallavi Pandey (Associate Professor)  

Dr. Pallavi Pandey earned her Ph.D in EEG Signal Processing and Machine Learning. Her research interests include AI/ML, Image Processing, Signal Computing, and Data Mining. She has published in SCI and Scopus journals and is UGC-NET qualified, showcasing her academic and research proficiency. Know More

Dr. Tanu Gupta (Assistant Professor)

Dr. Tanu Gupta completed her Ph.D. in Natural Language Processing (NLP). Her research focuses on NLP, Deep Learning, and Machine Learning, supported by emerging publications in SCI/Scopus databases. She actively contributes to language computing and modern AI research initiatives. Know More

Dr. Sonam Lata (Assistant Professor) 

Dr. Sonam Lata earned her Ph.D. in Wireless Sensor Network Reliability. Her current research interests include Data Science, Artificial Intelligence, IoT, and Machine Learning. She has contributed through SCI and Scopus publications and is currently working on health-diagnostic systems and computer-vision-based research proposals. Know More

Dr. Preeti Mehta (Assistant Professor)  

Dr. Preeti Mehta completed her Ph.D. in Digital Image Forensics. Her research interests center around Computer Vision and Multimedia Forensics. She has a strong scholarly presence with over 120 citations, an h-index of 5, and contributions to SCI and Scopus publications. Know More

The School encourages a vibrant and engaging research environment through:

  • Regular Research Colloquia, PhD Progress Seminars, and Doctoral Consortiums.
  • Workshops on:
    - Research Methodology
    - Scientific Writing & Publishing
    - AI Tools for Research
    - Data Analysis & Visualization
  • Organizes symposium, conferences annually.
  • Opportunities to participate in hackathons, conferences, and international webinars.
  • Opportunities for industry-based problem statements, datasets, internships, and sponsored research.
  • Global alliances of IILM University enable exposure to international academic standards and visiting faculty programs.
  • Networking opportunities with leaders from technology-driven organizations and research communities.
  • Faculty mentoring for research design, experiments, publications, and grant proposals.
  • Collaboration opportunities with:
    - Other Schools within IILM University
    - Industry partners with Xebia, HCL, L&T for data, problem statements, and project funding.
  • Assistance in research ethics approval, plagiarism check, and project execution.
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