Dewan Ziaul Karim (DZK) is a lecturer at the Department of Computer Science and Engineering (CSE) at Brac University, Dhaka, Bangladesh. He completed his BSc. in CSE from Ahsanullah University of Science and Technology (AUST). Prior to joining Brac Univesity, he worked as a full time lecturer at Daffodil International University and Ahsanullah University of Science and Technology. He is also working as the coordinator of ITEE training program at Brac University. 

At Brac University, he is currently teaching Digital Logic Design theory course and Database Management Systems Lab course. In the previous years, he taught multiple courses such as Introduction to Computer Science, Digital Logic Design, Data Communications, Database Management Systems, Software Engineering, System Analysis and Design, etc. As the coordinator of ITEE training program, he prepares training schedule and facilitates seminars. He also supervises final year thesis/projects regularly. 

His primary research interest lies in the area of computer vision and machine learning. His interest in computer vision revolves around diverse sectors such as medical image processing, agricultural innovation, and various social applications. He intends to push the limits of visual recognition systems and solve real-world problems by investigating novel areas in computer vision. He intends to use deep learning algorithms for various innovative tasks. His goal is to create something practical and effective that will influence future generations of engineering.

At a Glance:

Department: Computer Science & Engineering

Phone: 

Email: ziaul.karim@bracu.ac.bd

Room: 4G05

Website: https://ziaul1891.github.io/dewanziaulkarim/

Google Scholar: Dewan Ziaul Karim

YouTube: Dewan Ziaul Karim

• Dewan Ziaul Karim, Tasfia Anika Bushra, Shoaib Ahmed Dipu, “A Deep Learning Based Ensemble Approach for Gastrointestinal Disease Detection with XAI”, in Proc. of the 6th IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET), 2024. 
• Dewan Ziaul Karim, Tasfia Anika Bushra, Muntasir Mahmud Saif, “PestDetector: A Deep Convolutional Neural Network to Detect Jute Pests”, in Proc. of the 4th International Conference on Sustainable Technologies for Industry 4.0 (STI), pp. 1-6, 2022.  
• Dewan Ziaul Karim, Tasfia Anika Bushra,”Detecting Lung Cancer from Histopathological Images Using Convolution Neural Network”, in Proc. of TENCON 2021-2021 IEEE Region 10 Conference (TENCON), pp. 626-631, 2021.  
• Salman Ibne Eunus, Shahriar Hossain, AEM Ridwan, Ashik Adnan, Md Saiful Islam, Dewan Ziaul Karim, Golam Rabiul Alam, Jia Uddin, “ECARRNet: An Efficient LSTM-Based Ensembled Deep Neural Network Architecture for Railway Fault Detection”, AI, 5(2), pp.482-503, 2024. 
• Mahir Faisal Chowdhury, Amit Nondi, Sium Ubn Akhter, Tanjina Bilma Pathan, Dewan Ziaul Karim, “Optimizing Citrus Leaf Disease Detection: An Efficient Custom CNN Leveraging Efficient Training Parameters”, in Proc. of the 6th IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET), 2024. 
• Hossain MD Hasibul Haque, MD Sayeed Arefin Apon, Dhrubo Rashid Chowdhury, Shahriar Islam Imtiaz, Nishat Tasnim Mahi, Dewan Ziaul Karim, “Identification of Brain Tumor in MRI Scans Using Custom Deep Convolutional Neural Network”, in Proc. of 4th International Conference on Electrical, Computer and Energy Technologies (ICECET), 2024.
• SM Toufique, Sadiq Uddin Bhuiyan, Ahmed Lateef, Arman Zaman, Jubaer Bin Islam, Dewan Ziaul Karim, “Implementing Machine Learning Techniques to Forecast Floods in Bangladesh”, in Proc. of 4th International Conference on Electrical, Computer and Energy Technologies (ICECET), 2024.
• Aabrar Islam, Ayen Aziza Haque, Najifa Tasnim, Simin Waliza Anantee, Dewan Ziaul Karim, “Glaucoma Scanner: Harnessing Deep CNN for Early Glaucoma Detection”, in Proc. of 4th International Conference on Electrical, Computer and Energy Technologies (ICECET), 2024.
• Chamak Saha, Somak Saha, Dewan Ziaul Karim, “CKD-LSTM: Chronic Kidney Disease Detection using LSTM Integrated with Oversampling Technique”, in Proc. of the 26th International Conference on Computer and Information Technology (ICCIT), 2023.
• Nazifa Mouli, Protiva Das, Munim Bin Muquith, Aurnab Biswas, MD Dilshad kabir Niloy, Md Faisal Ahmed, Dewan Ziaul Karim, “Unveiling Employee Job Satisfaction: Harnessing Deep Learning for Sentiment Analysis”, in Proc. of the 26th International Conference on Computer and Information Technology (ICCIT), 2023.
• Anisur Rahman, Faria Rahman, Tahmidul Labib, Ehteshamul Islam Uschash, Shihaba Jamal Chowdhury Adiba, Dewan Ziaul Karim, “Detection of DeepFake videos using Computer Vision and Deep Learning”, in Proc. of the 10th IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE), 2023.
• Tirthendu Prosad Chakravorty, Mobashra Abeer, Shaiane Prema Baroi, Sristy Roy, Dewan Ziaul Karim, “Interpretable Violence Detection Using Separable Convolution and Bidirectional LSTM”, waiting to be published in Proc. of the 10th IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE), 2023.
• Mohammad Muhibur Rahman, Anushua Ahmed, Mutasim Husain Khan, Mohammad Rakibul Hasan Mahin, Fahmid Bin Kibria, Dewan Ziaul Karim, Mohammad Kaykobad, “CNN vs Transformer Variants: Malware Classification Using Binary Malware Images”, in Proc. of the IEEE International Conference on Communication, Networks and Satellite (COMNETSAT), 2023.
• Tirthendu Prosad Chakravorty, Mobashra Abeer, Shaiane Prema Baroi, Sristy Roy, Dewan Ziaul Karim, “Spatial Feature Based Violence Detection Using Convolutional Neural Network”, in Proc. of the IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET), pp. 141-145, 2023. 
• Rehanul Ahmed, Md Mahidul Haque, Somak Saha, Chamak Saha, Mayurakshmi Dutta, Dewan Ziaul Karim, Moin Mostakim, Annajiat Alim Rasel, “Fresh or Stale: Leveraging Deep Learning to Detect Freshness of Fruits and Vegetables”, in Proc. of the 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), pp. 1-6, 2023. 
• Oyshik Ahmed Aadi, Md Meghdad Hossain Akash, Asif Hossain, Fahim Ishraq, Abdullah Al Fahim, Dewan Ziaul Karim, “CellIdentifier: Classification of Peripheral Blood Cell Images using Deep Learning”, in Proc. of the 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), pp. 1-6, 2023.  
• Mohammad Yasin Arefin, Rawhatur Rabbi, Iffat Fahmida Turna, Zahra Zannat, Dewan Ziaul Karim, “Lightweight Custom CNNs Take on Corn Leaf Disease: Deep Learning for Plant Pathology”, in Proc. of the 3rd International Conference on Electrical, Computer, Communications and Engineering (ICECCME), pp. 1-6, 2023. 
• Shah Imran, Zarif Sadman, Abidul Islam, Dewan Ziaul Karim, “Enhanced Yoga Posture Detection using Deep Learning and Ensemble Modeling”, in Proc. of the 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), pp. 1-6, 2023. 
• Dibash Dey, Umme Sabiha Shama, MD Akash, Dewan Ziaul Karim, “Automatic Waste Classification System using Deep Leaning Techniques”, in Proc. of the 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), pp. 1-6, 2023. 
• Md Farhadul Islam, Sarah Zabeen, Fardin Bin Rahman, Md Azharul Islam, Fahmid Bin Kibria, Meem Arafat Manab, Dewan Ziaul Karim, Annajiat Alim Rasel, “Exploring Node Classification Uncertainty in Graph Neural Networks”, in Proc. of the ACM Southeast Conference, pp. 186-190, 2023. 
• Md Farhadul Islam, Sarah Zabeen, Fardin Bin Rahman, Md Azharul Islam, Fahmid Bin Kibria, Meem Arafat Manab, Dewan Ziaul Karim, Annajiat Alim Rasel, “UnIC-Net: Uncertainty Aware Involution-Convolution Hybrid Network for Two-level Disease Identification”, in Proc. of SoutheastCon, pp. 305-312, 2023.  
• Amit Roy, Riasat Abdullah, Fahim Ahmed, Shahriar Mashfi, Sazid Hayat Khan, Dewan Ziaul Karim, “RetNet: Retinal Disease Detection using Convolutional Neural Network”, in Proc. of International Conference on Electrical, Computer and Communication Engineering (ECCE), pp. 1-6, 2023.  
• Muntasir Mahmud Saif, Dewan Ziaul Karim, Rafeed Bin Akbar, Mohammed Arman Khan, Tanvir Badsha, Sadman Sakib, “SZR5: A Modern Technique to Detect Potholes using Convolution Neural Network”, in Proc. of the 9th IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE),pp. 1-6, 2022. 
• Shihab Uddin Sikder, Md. Shafiul Muslebeen, Dewan Ziaul Karim, Ramkrishna Saha, Tasfia Anika Bushra, “OkkhorNet: A Deep Convolutional Neural Network to Classify Bengali Handwritten Characters”, in Proc. of the 9th IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE),pp. 1-6, 2022. 
• Kazi Kamruzzaman Rabbi, Akram Hossain, Pranto Dev, Aninda Sadman, Dewan Ziaul Karim, Annajiat Alim Rasel, “KDANet: Handwritten Character Recognition for Bangla Language using Deep Learning”, in Proc. of the 25th International Conference on Computer and Information Technology (ICCIT), pp. 651-656, 2022.  
• Mohammad Rakibul Hasan Mahin, Waheed Moonwar, Md. Shamsul Rayhan Chy, Fahim Faisal Raf, Md. Fahim Shahriar, Dewan Ziaul Karim, Annajiat Alim Rasel, “Interpretable Disease Classification in Plant Leaves using Deep Convolutional Neural Networks”, in Proc. of the 25^th International Conference on Computer and Information Technology (ICCIT), pp. 645-650, 2022. 
• Khalid Shifullah, H.M. Rakibullah, Nuzhat Islam, Hasin Raihan, Md. Ashik Iqbal, Dewan Ziaul Karim, Annajiat Alim Rasel, “Classification of Hotel Reviews Using Sentiment Analysis and Machine Learning”, in Proc. of the 25th International Conference on Computer and Information Technology (ICCIT), pp. 710-715, 2022. 
• Abrar Shahriar Abeed, Asif Atiq, Afra Antara Anjum, Azher Ahmed Efat, Dewan Ziaul Karim, “BoMaCNet: A Convolutional Neural Network Model to Detect Bone Marrow Cell Cytology”, in Proc. of the 25th International Conference on Computer and Information Technology (ICCIT), pp. 686-691, 2022. 
• Md. Farhadul Islam, Sarah Zabeen, Md. Azharul Islam, Fardin Bin Rahman, Anushua Ahmed, Dewan Ziaul Karim, Annajiat Alim Rasel, Meem Arafat Manab, “How Certain are Transformers in Image Classification: Uncertainty Analysis with Monte Carlo Dropout”, in Proc. of the 15^th International Conference on Machine Vision (ICMV), pp. 158-165,2022. 
• Takrim Rahman Albi, Md Nakhla Rafi, Tasfia Anika Bushra, Dewan Ziaul Karim, 2022, February. “Diabetes Complication Prediction using Deep Learning-Based Analytics”, in Proc. of the 2nd International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE), pp. 1-6, 2022. 
• Afridi Ibn Rahman, Subhi Bhuiyan, Ziad Hasan Reza, Jasarat Zaheen, Tasin Al Nahian Khan, Dewan Ziaul Karim, 2022, March. “Intracranial Hemorrhage Detection on CT Scan Images using Transfer Learning Approach of Convolutional Neural Network”, in Proc. of the 2nd International Conference on Computing Advancements (ICCA), pp. 171-177, 2022. 
• Arpita Dhar, Likhan Biswas, Prima Acharjee, Shemonti Ahmed, Abida Sultana, Dewan Ziaul Karim, Mohammad Zavid Parvez, “DFCatcher: A Deep CNN Model to Identify Deepfake Face Images”, in Proc. of TENCON 2021-2021 IEEE Region 10 Conference (TENCON), pp. 545-550, 2021. 
• Md. Afif Al Mamun, Dewan Ziaul Karim, Subroto Nag Pinku, Tasfia Anika Bushra, “TLNet: A Deep CNN model for Prediction of Tomato Leaf Diseases”, in Proc. of the 23rd International Conference of Computer and Information Technology (ICCIT), pp. 1-6, 2020.  
• Md. Al-Amin, Dewan Ziaul Karim, Tasfia Anika Bushra, “Prediction of Rice Disease from Leaves using Deep Convolution Neural Network towards a Digital Agricultural System”, in Proc. of the 22^nd International Conference of Computer and Information Technology (ICCIT), pp. 1-5, 2019. 
• Nafis Neehal, Dewan Ziaul Karim, Sejuti Banik, Tasfia Anika, “Runtime Optimization of Identification Event in ECG Based Biometric Authentication”, in Proc. of the 2nd International Conference on Electrical, Computer and Communication Engineering (ECCE), pp. 1-5, 2019. 
• Nafis Neehal, Dewan Ziaul Karim, Ashraful Islam, “Cloud-POA: A cloud-based map only implementation of PO-MSA on Amazon multi-node EC2 Hadoop Cluster”, in Proc. of the 20th International Conference of Computer and Information Technology (ICCIT), pp. 1-6, 2017. 

• Lecturer (Full Time) [May 2018 – Present]
  Department of Computer Science and Engineering, BRAC University, Dhaka, Bangladesh.
  Courses Taught: Introduction to Computer Science, Digital Logic Design, Data Communications, Software Engineering, System Analysis and Design.
   
• Undergraduate Co-coordinator [September 2018 – Present]
  Department of Computer Science and Engineering, BRAC University, Dhaka, Bangladesh.
  Responsibilities: Routine coordination, Courses offering, Semester schedule preparation, Exam routine and invigilation schedule preparation, etc.
   
• ITEE Training Coordinator [February 2021 – December 2023]
  BRAC University, Dhaka, Bangladesh.
  Responsibilities: Recruiting suitable students of ITEE training, Arranging training for students, Arranging opening and closing ceremonies, Arranging seminars regarding ITEE, etc.
   
• ITEE Trainer [January 2021 – Present]
  BRAC University, Dhaka, Bangladesh.
  Responsibilities: Teaching ITEE courses, Organizing ITEE study materials, Conducting sample exams, etc.
   
• Lecturer (Full Time) [September 2016 – April 2018]
  Department of Computer Science and Engineering,
  Daffodil International University, Dhaka, Bangladesh.
  Courses Taught: Microprocessor & Assembly Language, Computer Architecture & Organization, Data Communication, Web Engineering, Social & Professional Issues in Computing, Communication Engineering.
   
• Lecturer (Part Time) [October 2016 – March 2017]
  Department of Computer Science and Engineering,
  Ahsanullah University of Science and Technology, Dhaka, Bangladesh.
  Courses Taught: Computer Fundamentals, Programming Language.

• Honorable mention at Ideas for Action awarded by The World Bank, 2019.
• Certificate for Scopus Indexed Publication awarded by Daffodil International University, Dhaka, Bangladesh, 2018.
• Secured 1st position in my batch throughout the four years of B.Sc. in CSE (among 150 students).
• Awarded with Dean’s list of honor award for achieving more than 3.75 CGPA in the bachelors degree, Ahsanullah University of Science & Technology, Dhaka, Bangladesh, 2016.
• Government Scholarship in Secondary School Certificate Examination from Ministry of Education, Dhaka, Bangladesh, 2009.
• Government Talent pool Scholarship in Class 8 Scholarship Examination
• Achieved 1st position in 100m and 200m race and 2nd position in 800m race in Class 7 Track & Field events in Dhaka Residential Model College (DRMC).
• Awarded class champion for excellent performance in Class 7 Track & Field events in Dhaka Residential Model College (DRMC).

FYI, I do not take extra students in my sections. If you already sent me emails regarding this, I am sorry.

Fall 2024:

Theory: CSE260

Lab: CSE260

Summer 2024:

Theory: CSE260

Lab: CSE260

Spring 2024:

Theory: CSE260

Lab: CSE260, CSE370

Fall 2023:

Theory: CSE260

Lab: CSE260, CSE370

Summer 2023:

Theory: CSE260

Lab: CSE260, CSE370

Spring 2023:

Theory: CSE260

Lab: CSE260, CSE370

Fall 2022:

Theory: CSE260

Lab: CSE260, EEE362

Summer 2022:

Theory: CSE260

Lab: CSE260, EEE362

Spring 2022:

Theory: CSE260

Lab: CSE260, EEE362

Fall 2021:

Theory: CSE260

Lab: CSE260, EEE362

Summer 2021:

Theory: CSE260

Lab: CSE260, EEE362

Spring 2021:

Theory: CSE260, CSE320

Lab: CSE260, EEE362

Fall 2020:

Theory: CSE260, CSE320

Lab: CSE260, EEE362

Summer 2020:

Theory: CSE260

Lab: CSE260, EEE362

Spring 2020:

Theory: CSE260

Lab: EEE362

Fall 2019:

Theory: CSE260, CSE320

Lab: CSE101, CSE320, CSE471

Summer 2019:

Theory: CSE260, CSE320

Lab: CSE101, CSE320, CSE471

Spring 2019:

Theory: CSE260, CSE320

Lab: CSE101, CSE111, CSE320, CSE421

Fall 2018:

Theory: CSE260, CSE320

Lab: CSE101, CSE111, CSE320, CSE421

Summer 2018:

Theory: CSE470

Lab: CSE101, CSE320, CSE360, CSE421, CSE461

Hello! 

I am looking for hardworking and punctual students for thesis/projects in Fall 2024. If you intend to work on Computer Vision and Machine Learning related tasks, please feel free to email me at ziaul.karim@bracu.ac.bd. 

Alternatively, you can also meet me during office hours at Room#4G05. 

I am available for both supervision and co-supervision. 

It is better if you come with a group of 4-5 people. But I don't have any issues with less person if you have strong desire to work hard for your thesis. 

Note for students:

Please concentrate on the “hardworking” part. You may not know everything, in fact, you may know nothing when you meet me. But you have to be willing to learn and follow instructions. Most of the times, you will be self-learning, meaning, I won't do the “learning” part for you. I will give you guidelines though. You will have to follow and learn accordingly. 

If you plan to email me, please write “HnP” in your subject. This will help me to verify whether you went through this page or not.