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Dr. Arvind Yadav

Associate Professor
Department of Computer Science & Engineering (CSE)

Education

Degree	Specialization	University/Institute Name, Year
Ph.D. (Integrated)	Artificial Intelligence (AI) & Machine learning (ML)	National Institute of Technology (NIT), Rourkela, 2019
B.Tech.	Information Technology (IT)	Biju Patnaik University of Technology (BPUT), Rourkela, Odisha, 2011

Research Interests

Artificial intelligence (AI), Machine learning (ML), Water Resource Modeling and Simulation, Climate Modelling, River Basin Management, Hydrology, Water Quality Modelling, Sediments Modeling, Rainfall Runoff Modelling, Prediction, ANN Techniques, Genetic Algorithm, Regression, Support Vector Machine, Nonlinear Regression Methods, Soft Computing (SC), Forecasting and applications of various AI & ML in interdisciplinary domain.

Current Courses Taught / Teaching Interest

Artificial Neural network, Machine Learning, Artificial Intelligence, Database management system, Discrete Mathematics, OOPS with Java, C, C++, Python, Python Full Stack Development (PFSD), Java Stack Full Development (JFSD), Mern Stack Web Development (MSWD), HTML, E-Commerce, Risk management and security audit, MATLAB etc.

Academic Experience / Industrial Experience

Associate Professor in CSE department, SRM University, Delhi NCR, Sonipat, Haryana from February 2024 to present. Former Associate Professor in CSE department, K L University, Vaddeswaram, Vijayawada (NAAC A++, Category I Institution) Andhra Pradesh from December 2018 to February 2024(Almost 5 years and 3 months teaching experience).

Achievements / Awards / Recognitions

Received Stipend upto 5 years by MHRD, Government of India during Ph.D. at National Institute of Technology (NIT) Rourkela.
Qualified “GATE EXAM” (M. Tech CS Paper).
Awarded Ph.D. degree from NIT Rourkela.
Published patent-A Fully Automated Re-Circulatory Aquaculture System with Cloud Based Multi-Parameter Monitoring, Risk and Controlling System and Method Thereof, Patent number- 202141045604,2021.

Selected Publications/Working Papers

S.No	Paper Title	Journal / Conference	National / International	Volume / DOI	Page No	Date
1	Suspended sediment yield estimation using genetic algorithm-based artificial intelligence models: case study of Mahanadi River, India	Hydrological science journal	International	63 (8)/ https://doi.org/10.1080/02626667.2018.1483581	1162-1182	2018
2	Suspended sediment yield modeling in Mahanadi River, India by multi-objective optimization hybridizing artificial intelligence algorithms	International Journal of Sediment Research	International	36(1)/ https://doi.org/10.1016/j.ijsrc.2020.03.018	76-91	2021
3	Capability and Robustness of Novel Hybridized Artificial Intelligence Technique for Sediment Yield Modeling in Godavari River, India	Water	International	14(12)/ https://doi.org/10.3390/w14121917	1917	2022
4	Suspended Sediment Yield Forecasting with Single and Multi-Objective Optimization Using Hybrid Artificial Intelligence Models	Mathematics	International	10(22)/ https://doi.org/10.3390/math10224263	4263	2022
5	An Enhanced Feed-Forward Back Propagation Levenberg–Marquardt Algorithm for Suspended Sediment Yield Modeling	WATER	International	14(22)/ https://doi.org/10.3390/w14223714	3714	2022
6	Hybridizing Artificial Intelligence Algorithms for Forecasting of Sediment Load with Multi-Objective Optimization	WATER	International	15(3)/ https://doi.org/10.3390/w15030522	522	2022
7	Optimized Scenario for Estimating Suspended Sediment Yield Using an Artificial Neural Network Coupled with a Genetic Algorithm	WATER	International	14(18)/ https://doi.org/10.3390/w14182815	2815	2022
8	The Application of Stochastic Mine Production Scheduling in the Presence of Geological Uncertainty	Sustainability	International	14(16)/ https://doi.org/10.3390/su14169819	9819	2022
9	Low-Dose COVID-19 CT Image Denoising Using Batch Normalization and Convolution Neural Network	Electronics	International	11(20)/ https://doi.org/10.3390/electronics11203375	3375	2022
10	A Novel Approach to Integrating Uncertainty into a Push Re-Label Network Flow Algorithm for Pit Optimization	Mathematics	International	10(24)/ https://doi.org/10.3390/math10244803	4803	2022
11	An Optimized Open Pit Mine Application for Limestone Quarry Production Scheduling to Maximize Net Present Value	Mathematics	International	10(21)/ https://doi.org/10.3390/math10214140	4140	2022
12	A Novel Large-Scale Stochastic Pushback Design Merged with a Minimum Cut Algorithm for Open Pit Mine Production Scheduling	Systems	International	10(5)/ https://doi.org/10.3390/systems10050159	159	2022
13	A Survey on Consensus Protocols and Attacks on Blockchain Technology	Applied Sciences	International	13(4)/ https://doi.org/10.3390/app13042604	2604	2023
14	AI-Assisted Enhanced Composite Metric-Based Intrusion Detection System for Secured Cyber Internet Security for Next-Generation Wireless Networks	International Journal of Cooperative Information Systems	International	https://doi.org/10.1142/S0218843024500035	-	2024
15	Prediction of Suspended Sediment Yield by Artificial Neural Network and Traditional Mathematical Model in Mahanadi River Basin, India	Sustainable water resource management	International	4(4)/ https://doi.org/10.1007/s40899-017-0160-1	745-759	2017
16	Multi-objective genetic algorithm optimization of artificial neural network for estimating suspended sediment yield in Mahanadi River basin, India	International Journal of River Basin Management	International	18(2)/ https://doi.org/10.1080/15715124.2019.1705317	207-215	2020
17	Application of Artificial Neural Network and Genetic Algorithm Based Artificial Neural Network Models for River Flow Prediction	Revue d'Intelligence Artificielle	International	34(6)/ https://doi.org/10.18280/ria.340608	245-251	2020
18	Hybrid artificial intelligence-based models for prediction of death rate in India due to COVID19 Transmission	International Journal of Reliable and Quality E-Healthcare (IJRQEH)	International	12(2)/	1-15	2020
19	Machine Learning Models for covid-19 future forecasting	Materials Today: Proceeding	International	https://doi.org/10.1016/j.matpr.2020.10.962 (Elsevier)	-	2020
20	Detection of plant leaf disease using digital image processing	Materials Today: Proceeding	International	https://doi.org/10.1016/j.matpr.2020.11.115 (Elsevier)	-	2020
21	A Comparative Study of Interrupted Secondary User Buffer Mechanism with No buffer mechanism for Cognitive Radio Networks	In IOP Conference Series: Materials Science and Engineering	International	981(2)/ https://doi.org/10.1088/1757-899X/981/2/022040	1-10	2020
22	Prediction of Fake Tweets Using Machine Learning Algorithms	Recent Trends in Intensive Computing, IOS Press	International	Chapter 25/ https://doi.org/10.3233/APC210195 ISBN- 978-1-64368-217-4	188-195	2022
23	Text Summarizing Using NLP	Recent Trends in Intensive Computing, IOS Press	International	Chapter 9/ https://doi.org/10.3233/APC210179. ISBN- 978-1-64368-217-4	60-67	2022
24	A Comprehensive Assessment on IOT Devices with Data Mining Techniques	Recent Trends in Intensive Computing, IOS Press	International	Chapter 39/ https://doi.org/10.3233/APC210211 ISBN- 978-1-64368-217-4	322-328	2022
25	Design of Hybrid Soft Computing Techniques for Estimation of Suspended Sediment Yield in Krishna River, India	Cybernetics, Cognition and Machine Learning Applications. Algorithms for Intelligent Systems. Springer, Singapore	International	https://doi.org/10.1007/978-981-19-1484-3_13	113-121	2023
26	Face Tracking using Convolutional Neural Networks	International Journal of Emerging Trends in Engineering Research	National	8(9) https://doi.org/10.30534/ijeter/2020/235892020	6369-6374	2020
27	Estimation of Suspended Sediment Yield using Artificial Neural Network Model	International Journal of Innovative Technology and Exploring Engineering	National	9(3) https://doi.org/10.35940/ijitee.C8877.019320	3249-3253	2020
28	Monthly Suspended Sediment Load Estimation Using Artificial Neural Network and Traditional Models in Krishna River Basin, India	International Journal of Innovative Technology and Exploring Engineering	National	9(3) https://doi.org/10.35940/ijitee.B7743.019320	613-618	2020
29	Hybridizing the machine learning techniques for prediction of sediment yield	International Journal of Innovative Technology and Exploring Engineering	National	9(3) https://doi.org/10.35940/ijitee.C8911.029420	992-996	2020
30	Artificial Neural Network Model for Estimation of Suspended Sediment Load in Krishna River Basin, India	International Journal of Innovative Technology and Exploring Engineering	National	9(3) https://doi.org/10.35940/ijitee.B7744.019320	3701-3705	2020
31	Upgrade of GSM Security Using Elliptic Curve Cryptography Algorithm	International Journal of Innovative Technology and Exploring Engineering	National	8(7) Retrieval Number G3671058719 /19©BEIESP	487-491	2019
32	Home Control and Monitoring System	International Journal of Innovative Technology and Exploring Engineering	National	8(1) Retrieval Number: A3017058119/19©BEIESP	2511-2515	2019
33	Detection of Plant Disease using Convolutional Neural Networks (CNN)	International Conference on Sustainable Computing and Data Communication Systems (ICSCDS), IEEE	National	https://doi.org/10.1109/ICSCDS56580.2023.10105099	598-603	2023
34	Estimation and forecasting of suspended sediment yield in Mahanadi river basin: Application of artificial intelligence algorithms	National Institute of Technology, Rourkela (Ph.D. Thesis)	International	http://ethesis.nitrkl.ac.in/10035/	1-166	2019

Other Information

Dr. Arvind Yadav received the B. Tech. degree from the Biju Patnaik University of Technology(BPUT), Odisha, in 2011 and Integrated Ph.D. degree from the National Institute of Technology, Rourkela, Odisha, in 2019. He worked as an Associate Professor with the Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India. He is currently working as an Associate Professor in the department of Computer Science and engineering, SRM University, Delhi-NCR, Sonipat 131029, India. He is involved in teaching of machine learning, artificial intelligence, discrete mathematics, database management system, Python, C Programming, object oriented programming system, Discrete mathematics, Java etc. subjects. He has around twelve years of teaching and research experiences, and contributed a number of research articles in several standard SCI journals and conference proceedings of National and International. His main research interests include artificial intelligence, machine learning and soft computing and its applications in various interdisciplinary domain. He has applied these techniques in hydrology and other interdisciplinary domains.

He has membership in IAENG and IRED.

Dr. Arvind Yadav has successfully completed “Programming for Everybody (Getting Started with Python)” online course authorized by University of Michigan and offered through Coursera.

He has successfully completed “Object Oriented Programming in Java” an online course authorized by University of California San Diego and offered through Coursera.

He has also completed “AI For Everyone” an online course authorized by DeepLearning.AI and offered through Coursera.

He has completed many consultancy and NGO projects. He is reviewer of various SCI and other standard journals which are given below.

Reviewer of Science Citation Index (SCI) “International Journal of Sediment Research” Journal of impact factor (IF-2.57) in Elsevier publisher.
Reviewer of “Indian Journal of Radio & Space Physics” journal
Reviewer of Science Citation Index (SCI) “Stochastic Environmental Research and Risk Assessment” Journal of impact factor (IF-3.82) in Springer publisher.

Received certificate for 3rd International Conference on the Status and Future of the World's Large Rivers, National institute of hydrology, Delhi, India.

Received certificate for 'International Conference on Recent Trends in Engineering and Material Sciences (ICEMS 2016), Jaipur National University.

Received Letter of Appreciation for publishing the research articles from the KL University, Vaddeswaram, Vijayawada, Andhra Pradesh, India.

Awarded certificate for workshop on “IOT APPLICATION USING AWS CLOUD” from from the KL University, Vaddeswaram, Vijayawada, Andhra Pradesh, India.

Orchid ID-0000-0002-8988-9947
Scopus ID- 57201478888

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