Research Excellence Award
| Shamik Tiwari | |
|---|---|
| Affiliation | IILM University, Gurugram |
| Country | India |
| Google Scholar | gJ1Ip5MAAAAJ |
| Scopus ID | 56025925500 |
| ORCID | 0000-0002-5987-7101 |
| Citations | 1220 |
| h-index | 17 |
| Documents | 81 |
| Subject Area | Emotion Analysis |
| Event | Indian Scientist Awards |
Shamik Tiwari
IILM University, Gurugram, India
Shamik Tiwari is a globally recognized researcher, academic leader, and innovator in the field of Artificial Intelligence and Computer Science. He is listed among the World’s Top 2% Scientists by Elsevier and Stanford University for three consecutive years (2023, 2024, and 2025). With more than 22 years of experience in research, teaching, academic leadership, and institution building, he has significantly contributed to Artificial Intelligence, Machine Learning, Computer Vision, Medical Image Analysis, Deep Learning, and Predictive Analytics. He currently serves as Dean & Professor at the School of Computer Science and Engineering, IILM University, Gurugram, India.[1]
Abstract
Shamik Tiwari is an accomplished academic and researcher specializing in Artificial Intelligence, Machine Learning, Computer Vision, Deep Learning, Medical Imaging, Data Analytics, and Predictive Modeling. His research contributions span healthcare intelligence systems, Alzheimer’s disease detection, diabetic retinopathy diagnosis, COVID-19 imaging analysis, smart agriculture, and biometric authentication systems. Through extensive scholarly publications, patents, funded research projects, and leadership roles, he has contributed significantly to advancing AI-enabled healthcare and intelligent computing technologies.[2]
Keywords
Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Emotion Analysis, Medical Image Processing, Predictive Modeling, Data Analytics, Computer Science, Healthcare AI, NLP, Deep Neural Networks.
Introduction
Artificial Intelligence has transformed modern scientific research by enabling advanced predictive systems, intelligent automation, and data-driven decision-making across industries. Researchers working in AI and intelligent systems contribute significantly to healthcare innovation, cybersecurity, smart agriculture, and intelligent diagnostics. Shamik Tiwari’s work represents a major contribution to this evolving landscape through interdisciplinary AI applications and deep learning-based computational models.[3]
Research Profile
Shamik Tiwari currently serves as Dean & Professor at the School of Computer Science & Engineering, IILM University, Gurugram. He previously held academic and leadership positions at the University of Petroleum and Energy Studies (UPES), Mody University, and Sharda Group of Institutions. His academic career spans over 22 years in teaching, research, academic administration, and institutional quality assurance.[1]
He completed his Ph.D. in Computer Science & Engineering from Mody University of Science & Technology with a thesis titled “A Unified Framework for Blind Restoration of Blurred Barcode Images.” His research expertise includes Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Vision, Statistical Modeling, Image Processing, and Data Visualization.[4]
Tiwari has successfully guided multiple Ph.D. scholars and postgraduate students while actively contributing to accreditation frameworks such as NAAC, NBA, ABET, and NIRF. His leadership has played a critical role in curriculum modernization, faculty mentoring, research ecosystem development, and industry-academia collaborations.[5]
Research Contributions
Shamik Tiwari has contributed extensively to AI-driven healthcare diagnostics and intelligent systems. His research includes the development of non-invasive diagnostic systems for diabetic retinopathy, COVID-19 diagnosis using chest imaging, Alzheimer’s disease prediction using multimodal neuroimaging, smart ECG monitoring systems, and biometric authentication models.
His funded research project titled “Non-invasive diagnostic tool for diabetic retinopathy using lightweight intelligent applications and fundus photography” received support from BIRAC, Department of Biotechnology (DBT), Government of India. His work combines deep learning architectures, convolutional neural networks, capsule networks, ensemble learning, and computer vision techniques for real-world healthcare applications.
In addition to healthcare AI, Tiwari has contributed to cloud security, smart agriculture, emotion analysis, IoT-enabled systems, and intelligent image processing frameworks. His interdisciplinary approach integrates AI methodologies with practical problem-solving for industrial and societal impact.
Selected Publications
- A smart decision support system to diagnose Arrhythmia using ensembled ConvNet and ConvNet LSTM model. Expert Systems with Applications, 2023.
- AlzVNet: A volumetric convolutional neural network for multiclass classification of Alzheimer’s disease through multiple neuroimaging computational approaches. Biomedical Signal Processing and Control, 2022.
- A lightweight capsule network architecture for detection of COVID‐19 from lung CT scans. International Journal of Imaging Systems and Technology, 2022.
- Convolutional capsule network for COVID‐19 detection using radiography images. International Journal of Imaging Systems and Technology, 2021.
- Dermatologist-Level Classification of Skin Cancer Using Cascaded Ensembling of Convolutional Neural Network and Handcrafted Features Based Deep Neural Network. IEEE, 2022.
Research Impact
Shamik Tiwari has achieved substantial scholarly impact through high-quality research publications, patents, funded projects, and global academic recognition. His Google Scholar profile records more than 2257 citations, an h-index of 27, and an i10-index of 62, reflecting strong research visibility and citation influence within Artificial Intelligence and Medical Imaging research domains.
His recognition among the World’s Top 2% Scientists by Elsevier and Stanford University for three consecutive years further demonstrates the international significance of his research contributions. His work continues to influence healthcare AI, intelligent diagnostics, and interdisciplinary computing research globally.[1]
Award Suitability
Shamik Tiwari demonstrates exceptional alignment with the objectives of the Research Excellence Award under the Indian Scientist Awards framework. His globally recognized contributions in Artificial Intelligence, healthcare diagnostics, deep learning, and academic leadership showcase sustained excellence in scientific research and innovation.
His achievements in funded research, patent development, institutional leadership, curriculum innovation, and international publication output establish him as a distinguished researcher and educator in Computer Science and Artificial Intelligence. These accomplishments strongly support his recognition for excellence in scientific research and technological advancement.
Conclusion
Shamik Tiwari is a highly accomplished academician, researcher, and institutional leader whose work has significantly contributed to Artificial Intelligence and intelligent healthcare systems. Through impactful research publications, patents, funded projects, industry collaborations, and educational leadership, he continues to advance AI-driven innovation and interdisciplinary scientific research. His sustained academic excellence, global recognition, and commitment to technological advancement make him a deserving candidate for recognition under the Research Excellence Award category.[1]
External Links
References
- Shamik Tiwari; Amar Shukla. Review on Classification of Amyotrophic Lateral Sclerosis Using Ensemble Classifiers. Conference Paper, 2025. DOI: 10.3390/ecsa-11-22206
https://doi.org/10.3390/ecsa-11-22206 - IJ. Dhiviya Rose; Anurag Jain; Shamik Tiwari. Challenges and Solutions with Lightweight Models for Diabetic Retinopathy Detection. Book Chapter, 2024. DOI: 10.1007/978-981-99-8135-9_9
https://doi.org/10.1007/978-981-99-8135-9_9 - Amar Shukla; Shamik Tiwari; Anurag Jain. HybridFusionNet: Deep Learning for Multi-Stage Diabetic Retinopathy Detection. Technologies, 2024. DOI: 10.3390/technologies12120256
https://doi.org/10.3390/technologies12120256 - Sandeep Pratap Singh; Shamik Tiwari. Optimizing Dual Modal Biometric Authentication: Hybrid HPO-ANFIS and HPO-CNN Framework. Indonesian Journal of Electrical Engineering and Computer Science, 2024. DOI: 10.11591/ijeecs.v33.i3.pp1676-1693
https://doi.org/10.11591/ijeecs.v33.i3.pp1676-1693 - Amar Shukla; Rajeev Tiwari; Shamik Tiwari. Structural Biomarker‐Based Alzheimer’s Disease Detection via Ensemble Learning Techniques. International Journal of Imaging Systems and Technology, 2024. DOI: 10.1002/ima.22967
https://doi.org/10.1002/ima.22967