Syed Irfan Ali

@anjumanengg.edu.in

Assistant Professor, Artificial Intelligence and Data Science Department, Anjuman College of Engineering & Technology
Anjuman College of Engineering & Technology

Syed Irfan Ali


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https://researchid.co/syedirfanali
Dr. Syed Irfan Ali is an accomplished educator and research scholar with a Ph.D. in Electronics and Communication Engineering from Sage University, Indore (2022). He also holds an M.Tech. and B.E. from RTMNU, Nagpur.

Currently a faculty member at Anjuman College of Engineering and Technology, he teaches courses like Data Structures, Python Programming, and Design and Analysis of Algorithms. As a member of the Research and Development Committee, Dr. Ali actively organizes workshops and promotes research culture.

His technical expertise includes algorithm design, software development, and lightweight frameworks.

EDUCATION

Ph.D. in Electronics and Communication Engineering
Sage University, Indore, MP
Completed in 2022

M.Tech. in Electronics and Communication Engineering
RTMNU (Rashtrasant Tukadoji Maharaj Nagpur University)
Completed in 2016

B.E. in Electronics and Telecommunication Engineering
RTMNU (Rashtrasant Tukadoji Maharaj Nagpur University)
Completed in 2005

RESEARCH, TEACHING, or OTHER INTERESTS

Multidisciplinary
1

Scholar Citations

1

Scholar h-index

RECENT SCHOLAR PUBLICATIONS

  • Threat Foresight: Web Threat Detection and Forecasting Trends and Insights
    DN KRUTIKA, SH SUJAL, G SUJAL
    INTERNATIONAL JOURNAL 12 (2), 129-133 , 2025
    2025
  • Diagnosis of Laryngitis and Cordectomy using Machine Learning with ML. Net and SVD
    SI Ali, AS Khan, SM Ali, M Nasiruddin
    International Conference on Data Analytics & Management, 489-500 , 2023
    2023
  • Estimation of Different Beam Forming Technique using Intelligent Antenna System
    SA Ali, SI Ali
    International Journal of Engineering Science and Computing IJESC 7 (3), 4825 … , 2017
    2017
  • Classification of Electromyography Signal for Identifying of Nerve Muscles Disorder using ANFIS
    SI Ali, SM Ali, SA Ali
    IJETTCS 6 (4), 133-144 , 2017
    2017
  • Classification of Electromyography Signal for Identifying of Nerve Muscle Disorder Using ANFIS
    PSAA Prof. S.I Ali , Prof. S.M. Ali
    IJETTCS 6 (4), 133-144 , 2017
    2017
  • Intelligent Antenna Simulation Using Genetic Algorithm
    SA Ali, SI Ali
    ICOSMART-2017 , 2017
    2017
  • Diagnosis of Neuromuscular Disorder using EMG Signal and Neural Network
    SI Ali, S Parihar, D Kapgate, SA Ali
    TechEd-16 1, 251-254 , 2016
    2016
  • Diagnosis of Neuromuscular Disorder using EMG Signal and Neural Network
    SAA Syed Irfan Ali, Sunita Parihar, Deepak Kapgate
    TECH-CHRONICLE 1 (3), 251-254 , 2016
    2016
  • Diagnosis of Neuromuscular Disorder using EMG Signal and neural network
    SI Ali, S Parihar, D Kapgate, SA Ali
    TECH-CHRONICLE, 251-254 , 2016
    2016
  • Application of Neural Network in Diagnosing Neuromuscular Disorder using EMG Signal
    SI Ali, SM Ali, SA Ali
    IJARSET 3 (5), 2074-2078 , 2016
    2016
  • Identification of Neuromuscular Disorder by Classifying EMG Signal usingneural network
    SI Ali, S Parihar, D Kapgate
    IJNREST 1 (1) , 2016
    2016
  • Classification of Human Speech for Neurological disease from laryngeal using Pitch, Formants, MFCC, HFCC as features and SVM as classifier
    SM Ali, Ali, PT Karule, SAA S.Irfan Ali
    International Journal on Recent and Innovation Trends in Computing and … , 2015
    2015
  • Moving Average and Pre-emphasis filter design in Preprocessing of Pathological Speech Signals
    SM Ali, PT Karule, SA Ali, SI Ali
    IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE), 44-47 , 2014
    2014
    Citations: 1
  • Impact of Technology for Discriminating Schizophrenia, OCD Patient’s Speech from Normal Speech Using Spectrum, Cepstrum, Pitch Determination Technique, Feature Extraction …
    SM Ali, PT Karule, SAA Ali, S.Irfan Ali
    International Journal of Advancements in Research & Technology 2 (4), 174-178 , 2013
    2013

MOST CITED SCHOLAR PUBLICATIONS

  • Moving Average and Pre-emphasis filter design in Preprocessing of Pathological Speech Signals
    SM Ali, PT Karule, SA Ali, SI Ali
    IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE), 44-47 , 2014
    2014
    Citations: 1
  • Threat Foresight: Web Threat Detection and Forecasting Trends and Insights
    DN KRUTIKA, SH SUJAL, G SUJAL
    INTERNATIONAL JOURNAL 12 (2), 129-133 , 2025
    2025
  • Diagnosis of Laryngitis and Cordectomy using Machine Learning with ML. Net and SVD
    SI Ali, AS Khan, SM Ali, M Nasiruddin
    International Conference on Data Analytics & Management, 489-500 , 2023
    2023
  • Estimation of Different Beam Forming Technique using Intelligent Antenna System
    SA Ali, SI Ali
    International Journal of Engineering Science and Computing IJESC 7 (3), 4825 … , 2017
    2017
  • Classification of Electromyography Signal for Identifying of Nerve Muscles Disorder using ANFIS
    SI Ali, SM Ali, SA Ali
    IJETTCS 6 (4), 133-144 , 2017
    2017
  • Classification of Electromyography Signal for Identifying of Nerve Muscle Disorder Using ANFIS
    PSAA Prof. S.I Ali , Prof. S.M. Ali
    IJETTCS 6 (4), 133-144 , 2017
    2017
  • Intelligent Antenna Simulation Using Genetic Algorithm
    SA Ali, SI Ali
    ICOSMART-2017 , 2017
    2017
  • Diagnosis of Neuromuscular Disorder using EMG Signal and Neural Network
    SI Ali, S Parihar, D Kapgate, SA Ali
    TechEd-16 1, 251-254 , 2016
    2016
  • Diagnosis of Neuromuscular Disorder using EMG Signal and Neural Network
    SAA Syed Irfan Ali, Sunita Parihar, Deepak Kapgate
    TECH-CHRONICLE 1 (3), 251-254 , 2016
    2016
  • Diagnosis of Neuromuscular Disorder using EMG Signal and neural network
    SI Ali, S Parihar, D Kapgate, SA Ali
    TECH-CHRONICLE, 251-254 , 2016
    2016
  • Application of Neural Network in Diagnosing Neuromuscular Disorder using EMG Signal
    SI Ali, SM Ali, SA Ali
    IJARSET 3 (5), 2074-2078 , 2016
    2016
  • Identification of Neuromuscular Disorder by Classifying EMG Signal usingneural network
    SI Ali, S Parihar, D Kapgate
    IJNREST 1 (1) , 2016
    2016
  • Classification of Human Speech for Neurological disease from laryngeal using Pitch, Formants, MFCC, HFCC as features and SVM as classifier
    SM Ali, Ali, PT Karule, SAA S.Irfan Ali
    International Journal on Recent and Innovation Trends in Computing and … , 2015
    2015
  • Impact of Technology for Discriminating Schizophrenia, OCD Patient’s Speech from Normal Speech Using Spectrum, Cepstrum, Pitch Determination Technique, Feature Extraction …
    SM Ali, PT Karule, SAA Ali, S.Irfan Ali
    International Journal of Advancements in Research & Technology 2 (4), 174-178 , 2013
    2013