Profile

Md Abu Ismail Siddique

মোঃ আবু ইসমাইল সিদ্দিকী সাইফ

Lecturer

  •  Room No:  Room No: 2nd Floor, Academic Building - 01
  •  Phone:   880-1521300294
  •  PABX:   603
  •  Email:   saif101303@gmail.com
  • maisiddique@ete.ruet.ac.bd
  •  Website:   ismailsaif.github.io
Md. Abu Ismail Siddique is now working as a Lecturer in the Department of Electronics and Telecommunication Engineering (ETE) of Rajshahi University of Engineering and Technology (RUET), Rajshahi, Bangladesh from 12 December 2021. He received his B.Sc. Engineering degree in the department of ECE at RUET in March 2021. He is currently pursuing his M.Sc. Engineering degree in EEE from RUET since September 2021. He has been working in MetaMaterials, Machine Learning (ML), Conventional Neural Networks, Internet of things (IoT), Optics for the last one and half years. He has published some research papers and posters in this field.
Field of Research
  •  Metamaterial
  •  Machine Learning
  •  Internet of Things(IoT)
  •  Microcontroller & Embedded System

  •  First Joined: 12th Dec, 2021
  •      Dept. of Electronics & Telecommunication Engineering

Position

Education

Book / Book Chapter
1
Journal Articles
0
Conference Papers
36
SL Authors Title Publisher Details Publication Year Type
1 Md Rabiul Hasan, Md. Aslam Mollah, Md. Abu Ismail Siddique, Rifat Ahmmed Aoni High-Q Quasi-BIC Assisted Photonic Crystal Slab Nanotweezers 27th International Conference on Computer and Information Technology 2024 Conference
2 Suraiya Barsha, Zannatul Ferdousi, Md. Abu Ismail Siddique Improving Diabetic Retinopathy Detection Using Different Deep Learning Models with Data Balancing Techniques 27th International Conference on Computer and Information Technology 2024 Conference
3 Sarhan Wasif, Rabiul Islam, Md. Abu Ismail Siddique Optimized Feature Selection for Enhanced Breast Cancer Detection Using Machine Learning 27th International Conference on Computer and Information Technology 2024 Conference
4 Md. Abir Alam, Saifur Rahman, Md. Abu Ismail Siddique Optimized Machine Learning Framework for Predicting Student Mental Health Crises 27th International Conference on Computer and Information Technology 2024 Conference
5 Md. Tanziar Rahman, Sarhan Wasif, Md. Abu Ismail Siddique, Saifur Rahman Enhancing Software Defect Prediction Accuracy using Stacking Ensemble Model 27th International Conference on Computer and Information Technology 2024 Conference
6 Saraf Anzum Shreya ,Md. Abu Ismail Siddique, Antu Roy Chowdhury,Dr. Mst. Fateha Samad A Hybrid Approach for Accurate Brain Tumor Detection Using Deep Learning Techniques 27th International Conference on Computer and Information Technology 2024 Conference
7 Antu Roy Chowdhury, Sadman Hasib Emon, Md. Abu Ismail Siddique, Saraf Anzum Shreya Residual Block-Driven CNN for Accurate White Blood Cell Image Analysis and Classification 27th International Conference on Computer and Information Technology 2024 Conference
8 Md. Abu Ismail Siddique, Saifur Rahman, Dr. Md. Samiul Habib, Oishi Jyoti Comparative Analysis of Deep Learning Models for Detecting Image Artefacts in Silicon Hyperbolic Metamaterials 27th International Conference on Computer and Information Technology 2024 Conference
9 Simona Akhter, Md. Abu Ismail Siddique, Oishi Jyoti Real-Time Health Insights: A Smart IoT-Based Approach for Monitoring Paralysis Patients 6th International Conference on Electrical Engineering and Information & Communication Technology 2024 2024 Conference
10 Md. Abu Ismail Siddique, Md. Shahinur Islam, Hayatul Navin, Abdullah Al Fahmi, Ziaul Bhuiyan A Comprehensive Approach to Preventing Naval Accidents through Modern Signalling and Tracking 6th International Conference on Electrical Engineering and Information & Communication Technology 2024 2024 Conference
11 Oishi Jyoti, Abdus Salam, Sazid Hasan, Ziharul Islam Rifath, Md. Abu Ismail Siddique Advanced Rice Leaf Disease Detection using AgriRover: Enhancing Agricultural Monitoring and Crop Health Management 2024 IEEE International Conference on Power, Electrical, Electronics and Industrial Applications 2024 Conference
12 Al Amin Ridoy, Md Abu Ismail Siddique, Oishi Joyti A Machine Learning-Driven Crop Recommendation System with IoT Integration 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT) 2024 Conference
13 Aziz Mahmud, Md Abu Ismail Siddique, Oishi Jyoti Analyzing and Optimizing the Geometric Design of VO2 Based Metamaterial Unit Cells for Enhanced THz Absorption Bandwidth 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT) 2024 Conference
14 Tasmim , Sagor Bakchy, Hasibul Islam Peyal, Md. Rifat Hoshen, Md. Abu Ismail Siddique Colon Cancer Detection Using A Lightweight-CNN With Grad-CAM++ Visualization 3rd International Conference on Advancement in Electrical and Electronic Engineering 2024 Conference
15 Fariha Haque, Md. Abu Ismail Siddique, MD.Shojeb Shojol RenalNet: An End-to-End Hybrid Deep Learning and Ensemble Model for Accurate Kidney Disorder Classification 3rd International Conference on Advancement in Electrical and Electronic Engineering 2024 Conference
16 Oishi Jyoti, Amit Paul, Nuzhat Nawar, Md. Abu Ismail Siddique Ensemble Learning for Improved Thyroid Disease Prediction: A Voting Classifier Approach 3rd International Conference on Advancement in Electrical and Electronic Engineering 2024 Conference
17 Simona Akhter, Md. Abu Ismail Siddique, Oishi Jyoti Real-Time Health Insights: A Smart IoT-Based Approach for Monitoring Paralysis Patients 3rd International Conference on Advancement in Electrical and Electronic Engineering 2024 Conference
18 Md. Abu Ismail Siddique, Md. Shahinur Islam, Hayatul Navin, Ziaul Bhuiyan, Abdullah Al Fahmi A Comprehensive Approach to Preventing Naval Accidents through Modern Signalling and Tracking 3rd International Conference on Advancement in Electrical and Electronic Engineering 2024 Conference
19 Md. Abu Ismail Siddique, Oishi Jyoti, Dr. Md. Samiul Habib A Custom CNN Approach for Detection and Classification of Image artefacts in Silicon Hyperbolic Metamaterials 3rd International Conference on Advancement in Electrical and Electronic Engineering 2024 Conference
20 Oishi Jyoti, Md. Munawar Hossain, Md Abu Ismail Siddique Comparative Analysis of Machine Learning Algorithms for Transmission Line Fault Detection 10th International Conference on Power Systems (ICPS 2023) 2023 Conference
21 Ratul Paul, Nazmul Nahin, Md Abu Ismail Siddique, Shuvra Prokash Biswas, Sudipto Mondal A Robust PI-Type-II Compensator for DC-DC Boost Converter 10th International Conference on Power Systems (ICPS 2023) 2023 Conference
22 Saifur Rahman, Md Abu Ismail Siddique , S.M Abdullah Ashik Improving Skin Cancer Diagnosis: A Comprehensive Analysis of Transfer Learning and Ensemble Models 26th International Conference on Computer and Information Technology (ICCIT 2023). 2023 Conference
23 Md Abu Ismail Siddique , Md Shojeb Hossain Shojol ,Md. Muhaiminul Islam, Samia Alam, Oishi Jyoti Smart Border Surveillance: Real-time CNN on Drones with IoT Integration 26th International Conference on Computer and Information Technology (ICCIT 2023). 2023 Conference
24 Md Abu Ismail Siddique, Azmain Yakin Srizon An Effective Dimensionality Reduction Workflow for the Enhancement of Automated Date Fruit Recognition Utilizing Several Machine Learning Classifiers 2nd International Conference on Big Data, IoT and Machine Learning (BIM 2023). 2023 Conference
25 Fariha Haque, Md Abu Ismail Siddique, Md Shojeb Hossain Shojol Advancing Lung Cancer Diagnosis through Deep Learning and Grad-CAM based Visualization Techniques 2nd International Conference on Big Data, IoT and Machine Learning (BIM 2023). 2023 Conference
26 Suraiya Amin Barsha, Md Abu Ismail Siddique, Shohaib Ahmad Empowering Women's Safety through IoT-based Wearable Devices: A Framework for Real-time Monitoring and Alerting 2nd International Conference on Big Data, IoT and Machine Learning (BIM 2023). 2023 Conference
27 Md. Abu Nayeem, Md Abu Ismail Siddique Wireless Synchronization of Multiple Motors for Industry 4.0 Using IoT Technology 2nd International Conference on Big Data, IoT and Machine Learning (BIM 2023). 2023 Book Chapter
28 Md. Rafin Sayeed, Md. Samin Safayat Islam , Maliha Anam , Md Abu Ismail Siddique, and Md. Abir Alam Revolutionizing Smart Town Surveillance Systems: A Framework for Implementing Drone-Based IoT and AI Technologies 2nd International Conference on Big Data, IoT and Machine Learning (BIM 2023). 2023 Conference
29 Md Abu Ismail Siddique ,Fariha Haque, Md Shojeb Hossain Shojol Comparative Analysis of Feature Selection Techniques and Machine Learning Classifiers for Accurate Classification of Pumpkin Seeds 2023 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD) 2023 Conference
30 Md Shojeb Hossain Shojol, Md Abu Ismail Siddique ,Fariha Haque Enhanced Convolutional Neural Networks for Early Detection and Classification of Ophthalmic Diseases 2023 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD) 2023 Conference
31 Oishi Jyoti, Md Abu Ismail Siddique, Md Samiul Habib, SM Abdur Razzak Tunable Infrared Reflective filter Based on Graphene Hyperbolic Metamaterials 2022 4th International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE) 2022 Conference
32 Nazmul Islam Nahin, Md Abu Ismail Siddique IoT Based Solar Panel Driven Electric Robot for Rescue Operation in Remote Areas 2022 4th International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE) 2022 Conference
33 Oishi Jyoti, Md Abu Ismail Siddique, Md Samiul Habib, SM Abdur Razzak Analysis of a Metamaterial based Reflective Filter at Mid-IR frequencies 2022 12th International Conference on Electrical and Computer Engineering (ICECE) 2022 Conference
34 Oishi Jyoti, Nazmin Islam, Md Omaer Faruq, Md Abu Ismail Siddique, Md Habibur Rahaman Autism Spectrum Disorder Prognosis Using Machine Learning Algorithms: A Comparative Study International Conference on Intelligent Computing & Optimization 2020 Conference
35 Md Omaer Faruq Goni, Abdul Matin, Tonmoy Hasan, Md Abu Ismail Siddique, Oishi Jyoti, Fahim MD Sifnatul Hasnain Graduate Admission Chance Prediction Using Deep Neural Network 2020 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE) 2020 Conference
36 Md Omaer Faruq Goni, Fahim Md Sifnatul Hasnain, Md Abu Ismail Siddique, Oishi Jyoti, Md Habibur Rahaman Breast Cancer Detection using Deep Neural Network 2020 23rd International Conference on Computer and Information Technology (ICCIT) 2020 Conference
37 Md Abu Ismail Siddique, Abu Zahid Bin Aziz, Abdul Matin An improved deep learning based classification of human white blood cell images 2020 11th International Conference on Electrical and Computer Engineering (ICECE) 2020 Conference
  •  Best Paper Presenter in ICICCT 2024
  •  Best paper award in ICECTE Conference 2022
  •  Research Project by Bangabandhu HighTech Park Authority, Ministry of Telecommunication Research grant is Tk. 2,000,00/=
  •  Champion in National Hackathon 2020 and receive 1,000,00/=price money from state minister
  •  Stood 1st position in Basis Softexpo 2020 and Receive Award From state minister
  •  1st customized humanoid robot Fully Funded by National Science Museum of Science & Technology , Ministry of Science & Technology.which cost 2,000,00/=.
  •  1st Runner Up in Project Competition organized by RUET
  •  Higher Secondary Scholarship from Rajshahi Education board (2015-2020)
  •  Executive Member, Bangladesh Computer Society
  •  Advisor, Rajshahi City Association,RUET
  •  Advisor, RUET Career Forum
  •  Advisor, RUET Debating Club
Phd Students
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Masters Students
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Undergraduate Students
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Activity Description
Lead Mentor, Innovation Hub, Varendra University, Rajshahi As the Lead Mentor at the Innovation Hub of Varendra University, I am dedicated to fostering a culture of creativity and technological advancement among students. My role involves guiding young innovators through the process of turning their ideas into viable projects, and providing mentorship in areas such as research, development, and entrepreneurship. I collaborate with industry experts and academic professionals to ensure our students have the resources and support they need to succeed in their innovative endeavors.