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Dr.Md. Iqbal
APID: 3682
capProfessor at QUANTUM UNIVERSITY ROORKEE, UTTRAKHAND
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My Biography

Dr. Md. Iqbal is a Professor in the Department of More Computer Science and Engineering at Quantum University, Roorkee, Uttarakhand, India. He is an experienced academician and researcher with expertise in emerging areas of Computer Science, particularly Artificial Intelligence, Machine Learning, Blockchain, Cybersecurity, and Distributed Denial-of-Service (DDoS) attack detection. His academic profile indicates doctoral research in the area of reducing the impact of pandemics using Blockchain and Machine Learning technologies. Dr. Iqbal is actively involved in teaching, research, project evaluation, and mentoring students. He has contributed to research publications in areas such as AI-based cybersecurity and intelligent transportation systems and has participated in academic and technical activities at Quantum University. He has also served as a reviewer/evaluator for innovative student projects and technical events, supporting experiential learning and research-oriented education. His professional interests focus on applying emerging technologies to address contemporary challenges in cybersecurity, intelligent systems, and digital technologies. Overall, Dr. Md. Iqbal is committed to academic excellence, research innovation, and developing industry-relevant technical skills among students at Quantum University.

Area Of Expertise

Machine Learning, Artificial Intelligence, Cloud Computing and Blockchain Technology

Area of Intrest

Machine Learning, Artificial Intelligence, Cloud Computing and Blockchain Technology

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Shailendra Kumar Gaur


Good insight about the Indium thin film properties useful for semiconductor fabrication.

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Omonigho Otanocha


Hello, community of practice

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Levin Prabhu J


Dear Researchers … My work on social research has created impact on my students and young Read More researchers associated with in the recent years . My domain expertise leads to : Architecture and Urbanism
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Dr.R.Malathi Ravindran


Dear Friends, I am an Associate Professor of Computer Applications, willing to join in the field of Read More Data Base Analysis.
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Obi shambaba


The isolation of NTM species from humans, Mycobacterium virginiense is the second time to be Read More isolated from Human sputum in the world and water, Mycobacterium fortuitum highlighted that active and ex miners are at potential risks of acquiring pathogenic NTM from mining environment. The study has reviewed that they are NTM circulating in the mining environment and humans (active and ex miners) in Zambia which are potential pathogenic in immune comprised individuals. The identification of these Mycobacteria in clinical samples and environmental sources was important for both clinical and patient management, It will also help formulate policy change in understanding transmission factors that increase NTM transmission in mining
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Suljovic Suad


Through work, you achieve advancement in work and profession

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Souvik Das


My recent work focuses on developing an innovative approach to address operator fatigue in Read More industrial settings using intelligent Personal Protective Equipment (PPE). By integrating breathable sensors and image data analysis, this technology aims to assess and manage operator fatigue in real time. The impact of this work lies in its potential to enhance workplace safety by proactively identifying and mitigating fatigue-related risks. This solution not only aims to improve the overall well-being of industrial workers but also seeks to optimize productivity by ensuring operators are functioning at their best.
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SHRISHAIL SOLLAPUR


Hello
I am working on Mechatronics and Control Area, can join for research collaboration

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PRANJALI GAJBHIYE


Hi everyone, I am working on signal processing on biomedical signals such as EEG, ECG, and EMG Read More signals .

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Sulaman Yaqub


Natural product isolation and characterization by spectroscopies like UV, FTIR, NMR (1H, 13C, Read More 2D-NMR) etc.

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