Vidwan-ID : 522644

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Academic Identity

Orcid Id 0000-0002-6375-8615
Scopus Id 57198645913
Researcher Id H-4151-2019
Google Scholar Id RwCZSW4AAAAJ

Profile Links

Score criteria

Criteria	Point
Personal Details	1
Expertise Details	1
Experience Details	1
Qualification Details	1
Employee ID	0.2
Orcid ID	0.2
Researcher ID	0.2
Scopus ID	0.2
Google Scholar ID	0.2
Honours <=3< /td>	0.3
Honours >3	0.5
Project worth less than Rs.5,00,000/-	0.2
Project worth more than Rs.5,00,000/-	0.5
Membership in professional Bodies < 5	0.5
Membership in professional bodies >=5	1
No of publications <=15	1
No of publications between 15-45	2
No of publications >45	3

Vidwan Score 9.5

82 Articles

10 Books

3 Projects

4 Awards

Dr Deepak Gupta

Assistant Professor (Grade-I)

Motilal Nehru National Institute of Technology Allahabad

Publications

82

Journal Articles
10

Book
18

Conference
Proceedings
3

Projects
4

Awards
7
4
2
77

Citations / H-Index

1908 Citations

26 h-index

1738 Citations

Altmetrics

105

Google Scholar

Co-author Network

Expertise

Computer Science Artificial Intelligence

Dr. Deepak Gupta is Assistant Professor in the Department of CSE of MNNIT Allahabad, Prayagraj, India. Previously he has worked in the Department of CSE of NIT Arunachal Pradesh. He received the Ph.D. degree in CSE from the JNU, New Delhi, India. His research interests include SVM, ELM, RVFL, KRR and other machine learning techniques. He has published over 80 referred journal and conference papers of international repute. His publications have more than 1900 citations with an h-index of 27 and i

Personal Information

Dr Deepak Gupta

1985 Male

Room No 12, 1st Floor, Design Center, Department Of CSE, MNNIT Allahabad Department Of Computer Science & Engineering

Prayagraj (Allahabad), Uttar Pradesh, India - 211004

Experience in Months

Academic: 10 Administrative: 0 Industry: 0

Experience

2023 - Present

Assistant Professor (Grade-I)

Department of Computer Science and Engineering

Motilal Nehru National Institute of Technology Allahabad, Allahabad
2016 - 2023

Assistant Professor (Grade-I)

CSE

NIT Arunachal Pradesh , Jote

Qualification

2015

PhD

Jawaharlal Nehru University
2011

MTech

Jawaharlal Nehru University

Honours and Awards

2023

listed in the world's top 2% scientists

Stanford University, USA 2023

2021

IEEE SENIOR MEMBER

IEEE

2020

EDITORIAL BOARD OF MATHEMATICS OF COMPUTATION AND DATA SCIENCE AS REVIEW EDITOR FOR FRONTIERS IN APPLIED MATHEMATICS AND STATISTICS

Frontiers in Applied Mathematics and Statistics

2023

listed in the world's top 2% scientists

Stanford University, USA 2023

2021

IEEE SENIOR MEMBER

IEEE

2020

EDITORIAL BOARD OF MATHEMATICS OF COMPUTATION AND DATA SCIENCE AS REVIEW EDITOR FOR FRONTIERS IN APPLIED MATHEMATICS AND STATISTICS

Frontiers in Applied Mathematics and Statistics

2020

MEMBER OF IEEE COMPUTATIONAL INTELLIGENCE SOCIETY TASK FORCE COMMITTEE-RANDOMIZATION-BASED NEURAL NETWORKS AND LEARNING SYSTEMS AS ON 30 NOVEMBER 2020.

IEEE CIS

Read Less

Doctoral Theses Guided

2020

Improvements on Support Vector Machine and Single Hidden Layer Feedforward Network-based Algorithms for Binary Classification

NIT Arunachal Pradesh,Parashjyoti Borah

2020

Improvements on Support Vector Machine and Single Hidden Layer Feedforward Network-based Algorithms for Binary Classification

NIT Arunachal Pradesh,Parashjyoti Borah

Read Less

Membership In Professional Bodies

2020

EAI (European Alliance for Innovation)

Senior Member

2018

Member of Indian Science Congress Association (ICSA)

Member

2018

Computer Society of India

Member

2020

EAI (European Alliance for Innovation)

Senior Member

2018

Member of Indian Science Congress Association (ICSA)

Member

2018

Computer Society of India

Member

Read Less

Research Projects

Prediction of sediment load concentration in rivers using computational machine learning approaches

Funding Agency : SERB

Machine Learning Models for Classification of Electroencephalogram (EEG) Signal

Funding Agency : TEQIP-III

A Study on p-graphoidal graph

Funding Agency : SERB

Prediction of sediment load concentration in rivers using computational machine learning approaches

Funding Agency : SERB

Machine Learning Models for Classification of Electroencephalogram (EEG) Signal

Funding Agency : TEQIP-III

A Study on p-graphoidal graph

Funding Agency : SERB

Read Less

Vidwan-ID : 522644

Academic Identity

Profile Links

Score criteria

Vidwan Score 9.5

Dr Deepak Gupta

Publications

Journal Articles

Book

Conference Proceedings

Projects

Awards

Citations / H-Index

Altmetrics

Google Scholar

Co-author Network

Publications - 111 Co-author - 188

Expertise

Computer Science Artificial Intelligence

Personal Information

Dr Deepak Gupta

Experience in Months

Experience

Assistant Professor (Grade-I)

Assistant Professor (Grade-I)

Qualification

PhD

MTech

Honours and Awards

listed in the world's top 2% scientists

IEEE SENIOR MEMBER

EDITORIAL BOARD OF MATHEMATICS OF COMPUTATION AND DATA SCIENCE AS REVIEW EDITOR FOR FRONTIERS IN APPLIED MATHEMATICS AND STATISTICS

listed in the world's top 2% scientists

IEEE SENIOR MEMBER

EDITORIAL BOARD OF MATHEMATICS OF COMPUTATION AND DATA SCIENCE AS REVIEW EDITOR FOR FRONTIERS IN APPLIED MATHEMATICS AND STATISTICS

MEMBER OF IEEE COMPUTATIONAL INTELLIGENCE SOCIETY TASK FORCE COMMITTEE-RANDOMIZATION-BASED NEURAL NETWORKS AND LEARNING SYSTEMS AS ON 30 NOVEMBER 2020.

Doctoral Theses Guided

Improvements on Support Vector Machine and Single Hidden Layer Feedforward Network-based Algorithms for Binary Classification

Improvements on Support Vector Machine and Single Hidden Layer Feedforward Network-based Algorithms for Binary Classification

Membership In Professional Bodies

EAI (European Alliance for Innovation)

Member of Indian Science Congress Association (ICSA)

Computer Society of India

EAI (European Alliance for Innovation)

Member of Indian Science Congress Association (ICSA)

Computer Society of India

Research Projects

Prediction of sediment load concentration in rivers using computational machine learning approaches

Funding Agency : SERB

Machine Learning Models for Classification of Electroencephalogram (EEG) Signal

Funding Agency : TEQIP-III

A Study on p-graphoidal graph

Funding Agency : SERB

Prediction of sediment load concentration in rivers using computational machine learning approaches

Funding Agency : SERB

Machine Learning Models for Classification of Electroencephalogram (EEG) Signal

Funding Agency : TEQIP-III

A Study on p-graphoidal graph

Funding Agency : SERB

Publications (111)

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