Deepika | Machine Learning | Best Researcher Award

Published-on by Indian Scientist

Ms. Deepika | Machine Learning | Best Researcher Award

The NorthCap University, India

Author Profile

ORCID

🎓 EARLY ACADEMIC PURSUITS

Ms. Deepika has consistently demonstrated academic excellence throughout her education. She holds a B.Tech in Computer Science Engineering from YMCA Institute of Engineering, where she ranked among the top three students in her batch. She went on to complete her M.Tech in Computer Science from Lingaya’s University, securing the second rank. She is currently pursuing a Ph.D. in Computer Science & Engineering at The NorthCap University, specializing in medical imaging and deep learning

🏢 PROFESSIONAL ENDEAVORS

Ms. Deepika brings over 5 years of corporate R&D experience from Ericsson Global India, where she worked as a Senior Solution Integrator. Her projects focused on telecom fault management, Netcool-based automation, and alarm handling systems. Her contributions in automating trouble ticketing and fault detection workflows earned her the Power Award and performance-based cash rewards. She displayed leadership in system integration, scripting, testing, and production support, translating technical expertise into tangible organizational benefits.

📚 CONTRIBUTIONS AND RESEARCH FOCUS IN MACHINE LEARNING

Ms. Deepika’s doctoral research lies at the convergence of machine learning, deep learning, and functional brain imaging for the diagnosis of neuropsychiatric disorders, particularly ADHD. Her contributions include:

  • Kolmogorov-Arnold Network (KAN) for parameter-efficient ADHD diagnosis

  • Hybrid metaheuristic–fuzzy logic systems for multi-disease classification

  • Multimodal neuroimaging frameworks utilizing fMRI, EEG, and structural MRI

  • Explainable AI (XAI) methods promoting interpretability and trust in medical AI

She is well-versed in cutting-edge tools like TensorFlow, PyTorch, Nilearn, FSL, SPM, and leverages advanced statistical and optimization techniques for robust model development.

🏅 ACADEMIC CITATIONS, ACCOLADES AND RECOGNITION

  • UGC-NET Qualified (Computer Science, 2018)

  • HTET Qualified (2016)

  • Awarded UGC Research Fellowship

  • Best Paper Awards at national and international conferences

  • Top Rank Holder in both undergraduate and postgraduate programs

  • Power Award and cash incentives from Ericsson for outstanding contributions

🌍 IMPACT AND INFLUENCE

Her research contributes significantly to the field of AI-driven healthcare diagnostics, focusing on low-parameter models and cross-platform compatibility for deployment in resource-constrained environments. Her work emphasizes biomarker discovery, data fusion, and interdisciplinary collaboration between AI and clinical neuroscience. She promotes standardization and reproducibility in neuroimaging-based machine learning, ensuring her models are accessible and implementable in real-world clinical settings.

🧭 LEGACY AND FUTURE CONTRIBUTIONS

Ms. Deepika aims to develop real-time, interpretable diagnostic tools integrating multi-modal brain data with scalable AI architectures. Her future research envisions:

  • Cross-disorder AI frameworks (e.g., ADHD, autism, depression)

  • Deployment-ready solutions for rural healthcare centers

  • Contribution to open-access neuroimaging repositories

  • Ethical and explainable AI models aligned with global health guidelines

She is committed to mentorship, capacity-building in AI for healthcare, and inclusive research practices.

 ✅CONCLUSION

Ms. Deepika represents a powerful blend of academic brilliance, industrial innovation, and societal impact. Her work bridges gaps between machine learning and medicine, offering transformative solutions for mental health diagnostics. With a clear vision and deep technical foundation, she is well-positioned to become a leading figure in neuro-AI research.

🔬NOTABLE PUBLICATION:

A Hybrid Metaheuristic–Fuzzy Logic-Based Framework for Robust ADHD and Multi-Disease Classification
Author(s): Deepika; Arora, S.; Sharma, M.
Journal: Iran Journal of Computer Science
Year: 2025

Multimodality Model Investigating the Impact of Brain Atlases, Connectivity Measures, and Dimensionality Reduction Techniques on Attention Deficit Hyperactivity Disorder Diagnosis Using Resting State Functional Connectivity
Author(s): Deepika; Sharma, M.; Arora, S.
Journal: Journal of Medical Imaging
Year: 2024

Machine Learning Advances in Diagnosing Attention Deficit and Hyperactivity Disorder
Author(s): Deepika; Sharma, M.; Arora, S.
Journal: 14th International Conference on Advances in Computing, Control, and Telecommunication Technologies (ACT 2023)
Year: 2023

Neuroimaging Based Automated Diagnosis of Attention Deficit and Hyperactivity Disorder Using Machine Learning Techniques
Author(s): Deepika
Journal: Hinweis Science and Engineering
Year: 2023

Atul Kumar Gupta | Artificial Intelligence | Best Researcher Award

Published-on by Indian Scientist

Dr. Atul Kumar Gupta | Artificial Intelligence | Best Researcher Award

Sharda University, India

Author Profile

GOOGLE SCHOLAR

🎓 EARLY ACADEMIC PURSUITS

Dr. Atul Kumar Gupta laid a strong academic foundation by pursuing a Ph.D. in Biotechnology, coupled with a Post Graduate Diploma in Business Administration (PGDBA) with a specialization in Operations Management. His multidisciplinary education enabled him to integrate scientific rigor with operational precision, allowing him to bridge the gap between research and applied industrial processes effectively.

🏢 PROFESSIONAL ENDEAVORS

With over a decade of professional excellence, Dr. Gupta has served in leading roles across prestigious institutions. He currently holds the position of Deputy General Manager at Sharda Research and Analytical Foundation and serves as Head of the Central Instrumentation Facility at Sharda University, Greater Noida.

Previously, he was associated with reputed organizations such as:

  • Vimta Labs Ltd.

  • CTC Analytical Services

  • Intertek India Pvt. Ltd.

He has managed various departments, including Analytical Chemistry and Microbiology, providing high-precision testing services for food safety and environmental compliance.

📚 CONTRIBUTIONS AND RESEARCH FOCUS IN ARTIFICIAL INTELLIGENCE

While rooted in biotechnology and analytical sciences, Dr. Gupta’s current research directions include integrating Artificial Intelligence (AI) in analytical instrumentation and data processing. His approach leverages omics technologies (genomics, proteomics, metabolomics) supported by AI tools to:

  • Enhance predictive analytics in food safety.

  • Develop automated diagnostic frameworks.

  • Streamline big data evaluation for agricultural biotechnology.

His innovative efforts aim to merge biological systems understanding with AI to drive precision agriculture and intelligent food analysis.

🏅 ACCOLADES AND RECOGNITION

  • Young Scientist Award by the Society of Plant Biochemistry and Biotechnology

  • Expert Review Panel Member at AOAC (Bromoform, ETO/ECH)

  • Certified Food Analyst under FSSAI regulations

  • NABL Empanelled Technical Assessor (ISO/IEC 17025:2017)

  • Invited Trainer for HPLC by Ministry of Public Health & GAIN (Afghanistan)

  • Member of prestigious bodies: Indian Science Congress, AOCS, AOAC Southeast Asia, Cereals & Grains Association, etc.

🌍 IMPACT AND INFLUENCE

Dr. Gupta’s influence extends across academia, industry, and global development platforms:

  • Invited twice to France for specialized training.

  • Appointed as Trainer by the Ministry of Public Health, in collaboration with GAIN Afghanistan, to train professionals on HPLC and its applications in the food and pharma industries.

  • Conducted FSSAI-sponsored workshops and seminars that bridged scientific research with regulatory frameworks.

  • Actively engaged as a NABL Technical Assessor and FSSAI Food Analyst, ensuring analytical laboratories meet ISO/IEC 17025:2017 standards.

🧭 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Gupta’s legacy lies in his unique ability to merge analytical chemistry, biotechnology, and AI-powered solutions for food safety and agricultural sustainability. He continues to work toward:

  • Developing automated detection systems for contaminants.

  • Advancing AI-integrated omics platforms.

  • Promoting global food quality standards through scientific diplomacy.

With deep expertise in mycotoxins, pesticides, antibiotics, heavy metals, nutraceuticals, and health supplements, he is shaping the future of safe and sustainable food systems.

 ✅CONCLUSION

Dr. Atul Kumar Gupta represents the new wave of translational scientists who transform research into real-world impact. With a balanced blend of scientific scholarship, leadership in analytical sciences, and a forward-looking embrace of AI, Dr. Gupta is leaving a significant imprint on the fields of biotechnology, food safety, and environmental monitoring.

🔬NOTABLE PUBLICATION:

Nutraceutical Value of Finger Millet [Eleusine coracana (L.) Gaertn.], and Their Improvement Using Omics Approaches
Authors: A. Kumar, M. Metwal, S. Kaur, A.K. Gupta, S. Puranik, S. Singh, M. Singh, …
Journal: Frontiers in Plant Science
Year: 2016

De Novo Assembly and Characterization of Developing Spikes Transcriptome of Finger Millet (Eleusine coracana): a Minor Crop Having Nutraceutical Properties
Authors: A. Kumar, V.S. Gaur, A. Goel, A.K. Gupta
Journal: Plant Molecular Biology Reporter
Year: 2015

Differential Expression of PBF Dof Transcription Factor in Different Tissues of Three Finger Millet Genotypes Differing in Seed Protein Content and Color
Authors: N. Gupta, A. Kumar Gupta, N.K. Singh, A. Kumar
Journal: Plant Molecular Biology Reporter
Year: 2011

Antibacterial and Antifungal Activity in Leaf, Seed Extract and Seed Oil of Seabuckthorn (Hippophae salicifolia D. Don) Plant
Authors: A.K. Sanjay Mohan Gupta, Atul K. Gupta, Zakwan Ahmed
Journal: Journal of Plant Pathology & Microbiology
Year: 2011

In Vivo Evaluation of Hypoglycemic Activity of Aloe spp. and Identification of Its Mode of Action on GLUT-4 Gene Expression In Vitro
Authors: R. Kumar, B. Sharma, N.R. Tomar, P. Roy, A.K. Gupta, A. Kumar
Journal: Applied Biochemistry and Biotechnology
Year: 2011

Understanding the Differential Nitrogen Sensing Mechanism in Rice Genotypes Through Expression Analysis of High and Low Affinity Ammonium Transporter Genes
Authors: V.S. Gaur, U.S. Singh, A.K. Gupta, A. Kumar
Journal: Molecular Biology Reports
Year: 2012