Dr. Rakesh Kumar Yadav
Also known as: Rakesh Kumar Yadav, Rakesh Yadav, Rakesh
Maharishi University of Information Technology, Maharishi University of Information Technology Lucknow, IFTM University
About
Biography of Dr. Rakesh Kumar Yadav
Dr. Rakesh Kumar Yadav is an accomplished academician and researcher currently serving as an Professor in the Department of Computer Science & Engineering at Maharishi University of Information Technology, Lucknow, India. With over 21 years of experience in higher education and more than 10 years post-PhD, he has established a strong reputation in the fields of Problem Solving, Data Structures, Algorithm Design, Machine Learning, and Cloud Computing.
Dr. Yadav completed his PhD in Computer Science and has since dedicated his career to both teaching and research. He is known for his effective teaching methods and his ability to engage students in complex technical subjects. His commitment to education is reflected in his excellent interpersonal and communication skills, making him a respected mentor among his students and peers.
In addition to his teaching responsibilities, Dr. Yadav has made significant contributions to academic research. He has published over 40 papers in Scopus-indexed journals, along with articles in SCI and Web of Science indexed journals. His scholarly work includes the authorship of three books and several patents, which underline his innovative approach and commitment to advancing the field.
Dr. Yadav is actively involved in the academic community, serving on the editorial boards of multiple journals and participating in various technical committees. He has chaired sessions at prominent conferences, including the INDIACom International Conference on Computing for Sustainable Global Development, where he focused on emerging trends in Machine Learning and IoT.
His contributions to academia have been recognized through several awards, including the Outstanding Contribution in Academia award from Maharishi University and the Best Researcher Award from IJMTST. Dr. Yadav is also a member of several professional organizations, including IEEE and IAENG, and has played a vital role in various curriculum development and review committees.
Dr. Yadav also plays a key role in administrative responsibilities at Maharishi University. He has served as the Overall Coordinator of the Department of Computer Science and has been involved in several committees, including the Central Research Committee and the Incubation & Innovation Cell. His leadership extends to organizing significant events, such as the Maharishi Startup Hackathon and internal rounds for the Smart India Hackathon.
Dr. Rakesh Kumar Yadav continues to inspire and mentor the next generation of engineers and researchers, driven by his passion for knowledge and innovation in the ever-evolving field of computer science and engineering.
Name: Dr.Rakesh Kumar Yadav
Designation: Professor & Dean MSOET
Department: Computer Science & Engineering
Affiliated college/ University: Maharishi School of Engineering & Technology, Maharishi
University of Information Technology, Lucknow, Uttar Pradesh, Pin-226013
City: Lucknow
State: Uttar Pradesh
Pin code: 226013
Email: [email protected]
Contact number: 63964111200
Employment
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Maharishi University of Information Technology Professor (CSE)2026 - Present
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Maharishi University of Information Technology Lucknow Associate Professor2022 - 2026
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IFTM University Assistant Professor2007 - 2022
Education
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IFTM University Ph.D.2011 - 2016
Projects & Funding
Projects & funding information is unavailable.
Publications (144)
- An attention-based multimodal deep learning framework integrating EEG and ECG for enhanced stress detection Save
- Exploring innovations in cardiac arrhythmia detection: Evaluating models, performance, and future paths Save
- A Comparative Study Between HWSM and Proposed Approach for Forecasting Model Save
- A Comprehensive Analysis of Blockchain-Based Cryptographic Framework for Network Security Save
- A Computer-Aided Diagnosis for Cardiovascular and Hepatic Disorders using Boosted Ensemble Deep Learning Save
- AI-Driven Green Computing for 6G Network: Improve User Experience and Security Save
- Advancements in Wavelength Division Multiplexing for High-Capacity Optical Networks Save
- An Evaluation of Interactive Communication Media Algorithms and Their Usage for Networking Applications Save
- An Examination of Load Carrying Gait Kinematics in Healthy Individuals Save
- An innovative and secured electronic voting system based on Elliptic Curved Signing Approach (ECDSA) and digital signatures Save