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Dr. Md. Ashraful Alam

Associate Professor

ashraful.alam@bracu.ac.bd

01984714672

Websites

https://www.bracu.ac.bd/about/people/md-ashraful-alam-phd https://cvis.bracu.ac.bd/people/

Address

CSE Department
4th floor, Room No # 4G24,
Brac University,
Kha 224 Bir Uttam Rafiqul Islam Avenue,
Merul Badda, Dhaka, Bangladesh

Biography Publications Professional Activity Awards Grants Courses Taught

Dr. Md. Ashraful Alam is working as an Associate Professor and the Director of CVIS Research Lab (Conputer Vision and Intelligent Systems) at the Department of Computer Science and Engineering in BRAC University. Prior to joining BRAC University, Dr. Alam was working as a Post-Doc. at the School of Information and Communication Engineering in Chungbuk National University, South Korea. He received his Doctor of Engineering degree in Computer and Communication Engineering from the same university in February 2015. During his PhD program, he had been awarded “BK21 Best Student Award” in 2014 for his outstanding achievements as a BK21 scholar. Dr. Alam has published more than 80 papers in reputed international journals and conference proceedings. Dr. Alam's research interests include computer vision & image processing, machine learning & machine vision, 3-D vision, medical data and image analytics, virtual and augmented reality. He is also engaged as Reviewer, Editorial Board Member, and Lead Guest Editor (Special issue) in reputed international journals.

Journal Articles

 

  1. Md. Humaion Kabir Mehedi, Moumita Khandaker, Shaneen Ara, Md. Ashraful Alam, M. F. Mridha & Zeyar Aung, “A lightweight deep learning method to identify different types of cervical cancer,” Scientific Reports (Nature) Vol. 14, pp. 29446 (2024). https://doi.org/10.1038/s41598-024-79840-y (IF: 3.8, Q1 Journal) [Journal article, Published]
  2. Sanjida Tasnim, Ashif Mahmud Mostafa, Azmain Morshed, Namreen Shaiyaz, Shakib Mahmud Dipto, Saad Aloteibi, Mohammad Ali Moni, Md. Golam Rabiul Alam and Md. Ashraful Alam*, “Normalizing Images in Various Weather and Lighting Conditions Using ColorPix2Pix Generative Adversarial Network,” Scientific Reports (Nature), (IF: 3.8, Q1 Journal) [Journal article, Under Review]
  3. Touseef Saleh Bin Ahmed, Tawhidur Rahman, Shammo Biswas, Saifur Rahman Sabuj, Mohammed Belal Bhuian, Mohammad Ali Moni, and Md. Ashraful Alam*, “A Deep Neural Network based Automated System for Handwritten Bangla Character Recognition and Braille Representation for Visually Impaired,” Knowledge-Based Systems, IF: 7.2, Q1 Journal, Scopus Indexed [Journal article, Under Review].
  4. Fairoz Nower Khan, Amit Hasan Khan. Ashraful Jannat, Noor E Nisa, Nabuat Zaman Nahim, Md. Shahinur Alam, Md. Ashraful Alam*, and Nam Kim*, “Autostereoscopic 3D Internet TV System Based on Integral Imaging,” IEEE Open Journal of the Computer Society, IF: 5.7, Q1 Journal, Scopus Indexed [Journal article, Under Review]
  5. Md. Shahinur Alam, Ki-Chul Kwon, Munkh-Uchral Erdenebat, Mohammed Y. Abbass, Md. Asharful Alam, and Kim, Nam, 2021. "Super-Resolution Enhancement Method Based on Generative Adversarial Network for Integral Imaging Microscopy" Sensors 21, no. 6: 2164.https://doi.org/10.3390/s21062164 (SCIE, IF: 3.576). [Journal article, Published]
  6. Md. Shahinur Alam, Ki-Chul Kwon, Md. Ashraful Alam, Mohammed Y. Abbass, Shariar Md Imtiaz, and Nam Kim*, “Trajectory-Based Air-Writing Recognition Using Deep Neural Network and Depth Sensor,” Sensors (MDPI) Vol. 20, No. 376 (pp1-16), January 2020, doi:10.3390/s20020376 (SCIE, IF: 3.576). [Journal article, Published]
  7. Ki-Chul Kwon, Munkh-UchralErdenebat, Md. Ashraful Alam, Young-Tae Lim, Kwang-Gi Kim, and Nam Kim, “Integral imaging microscopy with enhanced depth-of-field using a spatial multiplexing,” Optics Express [a well reputed journal of OSA SCI, IF 3.894], Vol. 24, Issue 3, pp. 2072-2083 (2016). [Journal article, Published]
  8. Md. Asharful Alam, Ki-Chul Kwon, Yan-Ling Piao, Young-Seok Kim, and Nam Kim, “Viewing-angle Enhanced Integral Imaging Display Using a Time-multiplexed Two- directional Sequential Projection Scheme and a DEIGR Algorithm,” IEEE Photonics Journal (SCI, IF: 2.443), Vol. 7, No. 1, pp. 6900214(1-14), February 2015. [Journal article, Published]
  9. Md. Ashraful Alam, Mei-Lan Piao, Le Thanh Bang, and Nam Kim, “Viewing-Zone Control of Integral Imaging Display Using Directional Projection and Elemental Image Resizing Method,” Applied Optics [a reputed journal of OSA] (SCI, IF: 1.98), Vol. 52, no. 28, pp. 6969-6978, October 2013 [N.B.- This article is selected for appearing on the cover page of that issue] [Journal article, Published]
  10. Nam Kim, Md. Asharful Alam, Le Thanh Bang, Phan Anh Hoang, Mei-Lan Piao, and Munkh- Uchral Erdenebat, “Advances in the light field displays based on integral imaging and holographic techniques (invited paper),” Chinese Optics Letters (SCI, IF: 2.448), Vol. 12, Issue 6, pp. 060005(1-5), June-2014. [Journal article, Published]
  11. Md. Ashraful Alam, Ganbat Baasantseren, Munkh-Uchral Erdenebat, Nam Kim, and Jae Hyeung Park, “Resolution enhancement of integral-imaging three-dimensional display using directional elemental image projection,” Journal of the Society for Information Display (SCIE, IF: 2.140), Vol. 20, No. 4, pp. 221-227, April 2012. [N.B.- This article was selected as an Outstanding Student Paper at the “SID International Symposium-Display Week 2011” held in Los Angeles, USA and was invited to publish in this journal]. [Journal article, Published]
  12. Le Thanh Bang, Weina Li, Mei-Lan Piao, Md. Ashraful Alam, and Nam Kim, “Noise Reduction in Digital Hologram Using Wavelet Transforms and Smooth Filter for Three- Dimensional Display,” IEEE Photonics Journal (SCI, IF: 2.443), Vol. 5, No. 3, pp. 6800414(1-14), June 2013. [Journal article, Published]
  13. Nam Kim, Anh-Hoang Phan, Munk h-Uchral Erdenebat, Ashraful Alam, Ki-Chul Kwon, Mei- Lan Piao and Jeong-Hyeon Lee, Phan Annh Hoang, “3D Display Technology,” Display and Imaging, Vol. 1, Issue 1, pp. 73-95, 2014. [Journal article, Published]
  14. Md. Zahangir Alom, Mei-Lan Piao, Md. Ashraful Alam, Nam Kim, Jae-Hyeung Park, “Facial Expressions Recognition from Complex Background using Face Context and Adaptively Weighted Sub-Pattern PCA,” International Journal of Computer and Information Engineering, Vol. 6, pp. 52-57, 2012. [Journal article, Published]

 

Conference Papers

 

  1. Samiha Sulatana and Md. Ashraful Alam*, "Exploring the Impact of Display Layouts on Text Readability and Visual Text Search on Large Displays in Virtual Reality", Graphics Interface 2024 (GI 2024 ), Halifax, Nova Scotia, Canada. 3-6 June, 2024. [Published]
  2. Md Mahibul Haque, Jobeda Khanam Ria, Fahad Al Mannan, Sadman Majumder, MD Reaz Uddin, Mahjabeen Tamanna Abed and Md Ashraful Alam*, "3D brain image segmentation using 3D tiled convolution neural networks," SPIE Conference 13040: Pattern Recognition and Prediction XXXV, SPIE Defense + Commercial Sensing, Maryland, United States, 1 - 25 April 2024. [Published]
  3. Samiha Sultana and Md. Ashraful Alam*, "Investigating the Effects of Display Layouts on Text Readability in Virtual Reality," 2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), Orlando, FL, USA, 2024, pp. 821-822, doi: 10.1109/VRW62533.2024.00207 [Published]
  4. Mahmudul Hassan, Tania Sultana Tamanna, Razin Sumyta Monsoor, Shehrin Hoque, Rageeb Mohammad Ridwan and Md. Ashraful Alam*, “Comparative Study of Deep Learning Models for Autism Diagnosis in Children using Image Analysis”IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE) December 6-7, 2024, Anna University, Chennai, India. [Published] 
  5. S. H. Emon et al., "SmartCitrus: An Efficient Deep Learning Approach for Real-Time Detection and Classification of Citrus Leaf Diseases," 2024 International Conference on Advances in Computing, Communication, Electrical, and Smart Systems (iCACCESS), Dhaka, Bangladesh, 2024, pp. 1-6, doi: 10.1109/iCACCESS61735.2024.10499517. [Published]
  6. Chowdhury Mohammad Irfanuddin, Wasique Islam Shafin, Koushik Ahmed, Md. Hasib Khan, Md. Ashraful Alam*, "An Efficient Deep Learning Approach to Detect      Neurodegenerative Diseases Using Retinal Images," 2023 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE), Nadi, Fiji, 2023, pp. 1-2, doi: 10.1109/CSDE59766.2023.10487730. [Published, IEEE].
  7.  Shaharear Hossain Emon, Iftea Khairul Islam, Tasfia Jahan Nahin, Ahnaf Mahdin Ahmed, Nabiha Tasnim Orchi, Shakib Mahmud Dipto and Md Ashraful Alam*, "SmartCitrus: An Efficient Deep Learning Approach for Real-Time Detection and Classification of Citrus Leaf Diseases", 2024 International Conference on Advances in Computing, Communication, Electrical, and Smart Systems (iCACCESS), Dhaka, Bangladesh, 2024, pp. 1-6, doi: 10.1109/iCACCESS61735.2024.10499517.[Published, IEEE].
  8. Md. Manik Hossain and Md. Ashraful Alam*, "Performance and Evaluation of Classification Algorithms Using Machine Learning with Comparative Study for Heart Disease Prediction," 2023 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE), Nadi, Fiji, 2023, pp. 1-2, doi: 10.1109/CSDE59766.2023.10487720. [Published, IEEE].
  9. Md. Zarif Labib, Sayema Binte Monsur, Abtahi Maskawath Shuvo, Tasmia Azrine, Talukder Juhaer Hakim, Syed Muaz Ali, and Md. Ashraful Alam*, "Gender Classification in Bangla Language Using Deep Learning-Based Voice Analysis," 2023 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE), Nadi, Fiji, 2023, pp. 1-6, doi: 10.1109/CSDE59766.2023.10487766. [Published, IEEE].
  10. Md. Arafat Muktadir, A. S. M Rahmat Ullah, Md. Jubayer Islam, Emdad Hossain, Tanjila Akter Munny, Syed Muaz Ali, and Md. Ashraful Alam*, "An Efficient ML Approach to Detect Brain Tumor Using MRI Images," 2023 26th International Conference on Computer and Information Technology (ICCIT), Cox's Bazar, Bangladesh, 2023, pp. 1-6, doi: 10.1109/ICCIT60459.2023.10441645. [Published, IEEE].
  11.  Shakib Mahmud Dipto, Md Tanzim Reza, Mst. Nasrin Akhter, Nadia Tasnim Mim, Md. Ashraful Alam*, "PNEXAI: An Explainable AI Driven Decipherable Pneumonia Classification System Leveraging Ensemble Neural Network, " 2023 IEEE World AI IoT Congress (AIIoT), Seattle, WA, USA, 2023, pp. 0001-0006, doi: 10.1109/AIIoT58121.2023.10174549. [Published, IEEE].
  12. Silma Subah, Arpita Nath, Mitheela Das Armisha, Sumaiya Binte Sakhawat, Md Nuhas Alam Parbo, Subir Mazumder Dhurbo, Md Shahinur Alam and Md. Ashraful Alam, “An Efficient Face Recognition Model Using Multiple Angular Images and Deep Neural Network Architecture,” International Conference on Machine Learning and Data Mining (MLDM 2023), July 15-19, 2023, New York, USA.  [Accepted]
  13. Shakib Mahmud Dipto, Mehafuza Islam, S.M Abdulla Al Mamun, A M Esfar-E-Alam and Md Ashraful Alam, “An Interpretable Transformer-Based Approach to Classify Malaria From Blood Cell Images,” International Conference on Machine Learning and Data Mining (MLDM 2023), July 15-19, 2023, New York, USA. [Accepted].
  14. Shakib Mahmud Dipto, Mst. Nasrin Akter, Md. Tanzim Reza, Nadia Tasnim Mim, and Md. Ashraful Alam*, “Interpretable Pneumonia Classification Leveraging Ensemble Neural Network and Explainable AI,” IEEE World AI IoT Congress 2023 [Published, IEEE].
  15. Tahmid Ashrafee Promit, Md Akibur Rahman Khan, Nahian Arnob, Rabbi Nur Rashid, “Detection of Coronary Artery Blockage at an Early Stage using Effective Deep Learning Technique,” International Conference on Computer and Information Technology (ICCIT) 2022, Cox’s Bazar, Bangladesh, Scopus Indexed [Published, IEEE].
  16. Syed Muaz Ali and Md. Ashraful Alam*, “An efficient deep learning approach for brain tumor detection using 3D convolutional neural network,” International Conference on Computer and Information Technology (ICCIT) 2022, Cox’s Bazar, Bangladesh, Scopus Indexed [Published, IEEE].
  17. Annur Tuba Islam, Sakib Mashrafi Apu, Sudipta Sarker, Sayeed Alam Shuvo, Inzamam M. Hasan, Shakib Mahmud Dipto and Md. Ashraful Alam, "An Efficient Deep Learning Approach to detect Brain Tumor Using MRI Images," 2022 25th International Conference on Computer and Information Technology (ICCIT), Cox's Bazar, Bangladesh, 2022 [Published, IEEE]
  18. Hasibul Hasan Sabuj, Nigar Sultana Nuha, Paul Richie Gomes, Aiman Lameesa, Md Ashraful Alam*, “Interpretable Garment Workers’ Productivity Prediction in Bangladesh Using Machine Learning Algorithms and Explainable AI,” International Conference on Computer and Information Technology (ICCIT) 2022, Cox’s Bazar, Bangladesh, Scopus Indexed [Published, IEEE].
  19. Afsana Khan, Fariha Haque Nabila, Masud Mohiuddin, Mahadi Mollah, Md Ashraful Alam, and Md Tanzim Reza, “An Approach to Classify the Shot Selection by Batsmen in Cricket Matches Using Deep Neural Network on Image Data,” International Conference on Computer and Information Technology (ICCIT) 2022, Cox’s Bazar, Bangladesh, Scopus Indexed [Published, IEEE].
  20. Noshin Tabassum Arthi,Kazi Ehsanul Mubin, Junayed Rahman, G.M.Rafi, Tahsina Tanzim Sheja, Md. Ashraful Alam*, “Decentralized Federated Learning and Deep Learning Leveraging XAI-Based Approach to Classify Colorectal Cancer,” IEEE Asia-Pacific Conference on Computer Science and Data Engineering (IEEE CSDE 2022), Australia, December 2022 [Published, IEEE].
  21. Nakayiza Hellen, Hasibul Hasan Sabuj, Md. Ashraful Alam*, “Explainable AI and Ensemble Learning for Water Quality Prediction,” 1st International Conference on Information and Communication Technology for Development (ICICTD 2022), KUET, Bangladesh [Published, Springer].
  22. Md. Muntaha Islam, Mashfurah Afiat, Adrita Biswas, Md Khalid Syffullah, Asadur Rahman Rishan, Shakib Mahmud Dipto, Nigar Sultana Nuha, Md Ashraful Alam*, “Lossless Segmentation of Brain Tumors from MRI Images using 3D U-Net,” IEEE Asia-Pacific Conference on Computer Science and Data Engineering (IEEE CSDE 2022), Australia, December 2022 [Published, IEEE].
  23. Mohammad Faizul Kabir, Farzana Chowdhury Raisa, Shakib Mahmud Dipto, Arif Shakil, and Md. Ashraful Alam*, “Loss Function Computation using Machine Learning Algorithms Based on the Effects of Natural Disasters and Plant Diseases on Plant Growth,” IEEE Asia-Pacific Conference on Computer Science and Data Engineering (IEEE CSDE 2022), Australia, December 2022 [Published, IEEE].
  24. P. R. Gomes, H. H. Sabuj, M. A. Uddin, M. T. Reza, R. I. Faiz and M. A. Alam, "A Deep Learning Approach for Reconstruction of Color Images in Different Lighting Conditions Based on Autoencoder Technique," 2021 International Conference on Electronics, Information, and Communication (ICEIC), 2021, pp. 1-4, doi:10.1109/ICEIC51217.2021.9369779. (Published)
  25. F. I. Hasib, N. F. Swarna, M. A. Alam, “Classification of Different Magnetic Structure from Image Data using Deep Neural Networks,” IEEE CSDE2021, Australia, December 2021 (Published)
  26. Dipto S.M., Afifa I., Sagor M.K., Reza M., Alam M.A. (2021) Interpretable COVID-19 Classification Leveraging Ensemble Neural Network and XAI. In: Rojas I., Castillo-Secilla D., Herrera L.J., Pomares H. (eds) Bioengineering and Biomedical Signal and Image Processing. BIOMESIP 2021. Lecture Notes in Computer Science, vol 12940. Springer, Cham. https://doi.org/10.1007/978-3-030-88163-4_33 (Published)
  27. Dipto S.M., Reza M., Alam M.A., “Suitable Crop Suggesting System Based on N.P.K. Values Using Machine Learning Models,” IEEE Asia-Pacific Conference on Computer Science and Data Engineering (IEEE CSDE2021), Australia, December 2021 (Published).
  28. F. U. Zaman, M. T. Zaman, S. Hussa, N. Kabir, M. A. Alam, G. R. Alam, “Multi-modal Emotion Recognition for Determining Employee Satisfaction,” IEEE Asia-Pacific Conference on Computer Science and Data Engineering (IEEE CSDE2021), Australia, December 2021 (Published).
  29. Ullah, A. K. M. Amanat; Sultana, Samiha; Faisal, Fahim; Rahi, Md. Muzahidul Islam; Alam, Md. Ashraful; Alam, Md. Golam Rabiul (2021): A Brief Review of Responsible AI and Socially Responsible Investment in Financial and Stock Trading. TechRxiv. Preprint. https://doi.org/10.36227/techrxiv.15093762.v1(Published).
  30. S. H. Arko, M. T. Hossain, S. M. Dipto, S. I. Shad, and M. A. Alam, “Real-World Objects Augmentation in Virtual 3D Environment using Deep Neural Network and a Game Engine,” IEEE Asia-Pacific Conference on Computer Science and Data Engineering (IEEE CSDE2021), Australia, December 2021 (Published).
  31. M. M. Raj, S. H. Tasdid, M. A. Nidra, J. Noor, S. A. Ria and M. A. Alam, “A Color Vision Approach Considering Weather Conditions Based on Autoencoder Techniques Using Deep Neural Networks,” IEEE Asia-Pacific Conference on Computer Science and Data Engineering (IEEE CSDE2021), Australia, December 2021 (Published).
  32. S. M. Zaman, M. M. Hasan, R. I. Sakline, D. Das and M. A. Alam, “A Comparative Analysis of Hyper-parameters using Neural Networks for E-mail Spam Detection,” IEEE Asia-Pacific Conference on Computer Science and Data Engineering (IEEE CSDE2021), Australia,December 2021 (Published).
  33. J. Alam and M. A. Alam, “An Efficient Approach for Skin Disease Detection using Deep Learning,” IEEE Asia-Pacific Conference on Computer Science and Data Engineering (IEEE CSDE2021), Australia, December 2021 (Published).
  34. M. K. Sagor, S. M. Dipto, I. Jahan, S. Chowdhury, M. T. Reza, and M. A. Alam, “An Efficient Deep Learning Approach for Detecting Lung Disease from Chest X-Ray Images Using Transfer Learning and Ensemble Modeling,” IEEE Asia-Pacific Conference on Computer Science and Data Engineering (IEEE CSDE2021), Australia, December 2021 (Published).
  35. M. S. Rahman, M. J. Hossain, K. H. Sujon, M. N. Kabir, S. Islam, M. T. Reza and M. A. Alam, “Integration of Handcrafted and Deep Neural Features for Melanoma Classification and Localization of Cancerous Region,” IEEE Asia-Pacific Conference on Computer Science and Data Engineering (IEEE CSDE2021), Australia, December 2021 (Published).
  36. Mohammed Julfikar Ali Mahbub, Sayed Md Rahmat Ulla, G M Sohanur Rahman, Abu Hasnayen Zillanee, Aknur Kamal Akib and Md Ashraful Alam*, “Generation of Realistic Images from Human Drawing Sketches Using Deep Learning,” International Conference on Machine Learning and Data Mining 2022, New York, USA. (Submitted and under review)
  37. Nakayiza Hellen, Ggaliwango Marvin and Ashraful Alam*, “Interpretable Feature Learning Framework for Smoking Behavior Detection,” International Conference on Machine Learning and Data Mining 2022, New York, USA. (Submitted and under review)
  38. Shakib Mahmud Dipto, Mst. Nasrin Akhter, Md Tanzim Reza and Md Ashraful Alam*, “A Deep Learning Approach for Pneumonia Classification from Chest X-Ray Images with Ensemble Modelling and Explainable AI,” International Conference on Machine Learning and Data Mining 2022, New York, USA. (Submitted and under review)
  39. Nasrin Akter, M. T. Reza and Md. Ashrafu. Alam*, "A Comparison Based Analysis on the Performance of Deep Neural Network Models in Terms of Classifying Pneumonia from Chest X-ray Images," 2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE), 2020, pp. 1-6, doi: 10.1109/CSDE50874.2020.9411560. [Published]
  40. A. Ahmed, R. Sultana, M. T. R. Ullas, M. Begom, M. M. I. Rahi and M. A. Alam*, "A Machine Learning Approach to detect Depression and Anxiety using Supervised Learning," 2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE), 2020, pp. 1-6, doi: 10.1109/CSDE50874.2020.9411642. [Published]
  41. Saffat Bokul, Samiha Sabrin Md Abdus Shukur, Saquib Ahmed, Tonmoy Kumar Bhowmick and Md. Ashraful Alam*, “Classifying Skyrmions, Spin-Spirals & Various Magnetic Configurations Using Deep Learning,” IEEE CSDE 2020, Gold Coast, Australia, 16-18 December, 2020. [Published]
  42. Tahsinur Rahman, Yasin Ahmed, Tawsiful Alam, Md. Hasibur Rahman Shakil, Md. Tanjidul Hossain, Fairoz Nawer Khan, Shakib Mahmud Dipto, Mostafijur Rahman Akhond, and Md Ashraful Alam*, “Evaluation of Earthquake Resistance of Urban Buildings using Image Processing and Machine Learning Techniques,” IEEE CSDE 2020, Gold Coast, Australia, 16-18 December, 2020. [Published]
  43. Safayet Anowar Shurid, Khandaker Habibul Amin, Md. Shahnawaz Mirbahar, Dolan Karmaker, Mohammad Tanvir Mahtab, Farhan Tanvir Khan, Md. Golam Rabiul Alam and Md. Ashraful Alam*, “Bangla Sign Language Recognition and Sentence BuildingUsing Deep Learning,” IEEE CSDE 2020, Gold Coast, Australia, 16-18 December, 2020. [Published]
  44. Md. Akram Hossan Tuhin,Tarunya Pramanick, Humayoun Kabir Emon, Wasiur Rahman, Md. Muzahidul Islam Rahi and Md. Ashrfaul Alam*, “A Machine Learning Approach to detect Depression and Anxiety using Supervised Learning,” IEEE CSDE 2020, Gold Coast, Australia, 16-18 December, 2020. [Published]
  45. Saqueeb Abdullah, Farah Idid Nibir, Suraiya Salam, Akash Dey, Md Ashraful Alam* and Md Tanzim Reza, “Intelligent Crime Investigation Assistance Using Machine Learning Classifiers on Crime and Victim Information,” ICCIT2020, Dhaka, Bangladesh, 19-21 December, 2020. [Published]
  46. Md. Ashraful Alam*, Fairoz KhanFairoz Khan, Amit Hasan Khan, and Nam Kim, “Real- time content creation and transmission of a 3D Internet TV system based on integral imaging using GPU parallel processing,” DOI: 10.1117/12.2547115, Conference: Advances in Display Technologies X, SPIE Photonics West 2020, February 2020, San Francisco, USA. [Published].
  47. Mahjabeen Tamanna Abed, Shanewas Ahmed Nabil, Umme Fatema, Tanzim Reza, Md. Ashraful Alam*, “Alzheimer's Disease Prediction Using Convolutional Neural Network Models Leveraging Pre-existing Architecture and Transfer Learning,” 9th International Conference on Informatics, Electronics & Vision (ICIEV), 26 ~ 29 August, 2020, Fukuoka, Japan. [Published].
  48. Md. Muzahidul Islam Rahi, A. K. M. Amanat Ullah , Farhan Tanvir Khan, Md. Golam Rabiul Alam, Mohammad Tanvir Mahtab, Md. Ashraful Alam*, “Detection of Skin Cancer using Deep Neural Networks,” IEEE CSDE 2019,CQUniversity, Melbourne, Australia, 9-11 December, 2019. [Published]
  49. Md Tanzim Reza, Nayeem Mehedi, Nazifa Afroza Tasneem, Md Ashraful Alam*, "Identification of Crop Consuming Insect Pest from Visual Imagery Using Transfer Learning and Data Augmentation on Deep Neural Network," 2019 22nd International Conference on Computer and Information Technology (ICCIT), Dhaka, Bangladesh, 2019, pp. 1-6, doi: 10.1109/ICCIT48885.2019.9038450. [Published]
  50. Sadia Alam, Md. Abdullah, A. K. M. Amanat Ullah , Md. Muzahidul Islam Rahi, and Md. Ashraful Alam*, “An Efficient Image Processing Technique for Brain Tumor Detection from MRI Images,” IEEE CSDE 2019,CQUniversity, Melbourne, Australia, 9-11 December, 2019. [Published] 
  51. [INVITED TALK] Md. Ashraful Alam*, Mohsinul Bari Shakir, M I Pavel, “Early detection of coronary artery blockage using image processing: segmentation, quantification, identification of degree of blockage and risk factors of heart attack,” Applications of Artificial Intelligence in Imaging and Sensing Session, SPIE DCS19 Micro-Nanotechnology Sensors, Systems, and Applications, SPIE Defense and Commercial Sensing 2019, Baltimore, Maryland, USA, April 13-17, 2019. [Published
  52. Md Tanzim Reza, Md Sakib Zaman, Iftekharul Mobin, Md Ashraful Alam*, “Analysis and 3D Representation of Visual Information from fMRI of Ventral Temporal Cortex Using Neural Network and Support Vector Machine,” 2019 5th International Conference on Advances in Electrical Engineering (ICAEE) Dhaka, Bangladesh, September 2019 (IEEE Conf. Proc., pp. 207-211) [Published].
  53. Aniqa Zaida Khanom, Tahsinur Rahman, Sheikh Mastura Farzana, and Md. Ashraful Alam*, “Analysis of Linear and Non-Linear Classifiers in Imbalanced Data to Predict Diabetes Induced Complications,” 15th International Conference on Machine Learning and Data Mining (MLDM) 2019, July 13-18, 2019, New York, USA (Scopus Indexed/Standard). [Published]
  54. Md. Ashraful Alam*, Salehin Rahman Khan, Bilash Deb, Ashikul Haque Khan and Khandker, Tanvir Hasan, “Travel Time Prediction using Machine Learning and Weather Impact on Traffic Conditions,” IEEE 5th International Conference for Convergence of Technology (I2CT 2019), Pune, India, 29-31 March, 2019, (Scopus Indexed). [Published]. 
  55. Indrani Datta Tithi, Ummay Sadia Khanum Shuchi,Nazifa Afroza Tasneem, Iftekharul Mobin, Md. Ashraful Alam*, “Brain fMRI Image Classification and Statistical Representation of Visual Objects,” 2nd International Conference on Electrical, Computer and Communication Engineering 2019, Cox’s Bazar, Bangladesh (Organized by CUET), 7-9 February, 2019, (Scopus Indexed). [Published]
  56. Md. Ashraful Alam*, Ateeq-Ur-Rahman Soobhee , F. M. Fahmid Hossain, Kamrun Nahar Ruma, Fakhrul Ahsan, Mahfuze Subhani, Md. Saiful Islam, “Faster Image Compression Technique Based on LZW Algorithm Using GPU Parallel Processing,” Proc. of 2018 Joint 7th International Conference on Informatics, Electronics & Vision (ICIEV) and 2018 2nd International Conference on Imaging, Vision & Pattern Recognition (icIVPR), Japan, 2018 (Scopus Indexed). [Published]
  57. Md. Ashraful Alam*, Mohsinul Bari Shakir, Mohammad Amzad Hossain, Faisal Raihan Akib, Khan Mohammad Aymaan Shams Shams, “Early detection, segmentation and quantification of coronary artery blockage using efficient image processing technique,” Medical Imaging Conference 2018, Texas, USA, 10-15 February 2018 (Scopus Indexed). [Published]
  58. Tanzia Ahmed, and Ibteaz Hasan Sadman.and Md. Ashraful Alam*, "Intelligent Household Water Supply Monitoring & Billing," Proc. of IEEE - ICISC Conference, Coimbatore, Tamil Nadu, India, January 18-20, 2018 (Scopus Indexed). [Published]
  59. Mosarrat Rumman, Abu Nayeem Tasneem, Sadia Farzana, Monirul Islam Pavel, and Md. Ashraful Alam*, “Early detection of Parkinson’s disease using image processing and artificial neural network,” Proc. of 2018 Joint 7th International Conference on Informatics, Electronics & Vision (ICIEV) and 2018 2nd International Conference on Imaging, Vision & Pattern Recognition (icIVPR), Japan, 2018 (Scopus Indexed). [Published]
  60. Shoumik Rahman Mehedy, Ashikur Jhalak and Md. Ashraful Alam*, “An Industrial Networking: Security Instructions and Panacea,” Proceedings of Oxford Conference Series- October 2017, AICIBS 2017 conference, Oxford University, UK (2017). [Published]
  61. MD Shahinur Alam, Ki-Chul Kwon, Yu Zhao, Md. Ashraful Alam, Nam Kim*, "Hand Finger- Joint Based Digit Recognition,” International Conference on Convergence Content- 2017, Thailand (2017). [Published]
  62. Md. Farhan Hamid and Md. Ashraful Alam*, “Virtual wardrobe for physically impaired using Microsoft Kinect Sensor,” IEEE Xplore as Proceedings of IEEE International Conference on Signal and Image Processing 2017, 4-6 august, 2017, Singapore (Scopus indexed). [Published]
  63. Md. Ishan Arefin Hossain, Ismail Hossain, Mridul Banik, Md. Ashraful Alam*, “IOT based Autonomous Class Attendance System using Non-Biometric Identification,” Proceedings of 2018 Joint 7th International Conference on Informatics, Electronics & Vision (ICIEV) and 2018 2nd International Conference on Imaging, Vision & Pattern Recognition (icIVPR), Japan, 2018 (Scopus Indexed). [Published]
  64. A M Muntasir Rahman, Shaker Mahmud Khandaker, Nasif Noor Saleheen, Tasnia Nobi Afee1, Naba Afrin and Md. Ashraful Alam*, “A Portable Braille Refreshable Display Using Micro Servos,” Proc. of 2018 Joint 7th International Conference on Informatics, Electronics & Vision (ICIEV) and 2018 2nd International Conference on Imaging, Vision & Pattern Recognition (icIVPR), Japan, 2018 (Scopus Indexed). [Published]
  65. Ajmain Inqiad Alam, Mahfuzur Rahman, Sharmin Afroz, Mahbubul Alam, Jia Uddin, Md. Ashraful Alam*, “IoT Enabled Smart Bicycle Safety System,” Proc. of 2018 Joint 7th International Conference on Informatics, Electronics & Vision (ICIEV) and 2018 2nd International Conference on Imaging, Vision & Pattern Recognition (icIVPR), Japan, 2018 (Scopus Indexed). [Published]
  66. Md. Ashraful Alam*, Amit Hasan Khan, Fairoz Nower Khan, Noor E. Nisa, Ashraful Jannat, Md. Shahinur Alam, Nam Kim, “Glass-free 3D internet TV system using integral imaging,” Advances of Display Technologies Conference (3D displays), SPIE Photonics West 2019, San Francisco, USA, 2-7 February, 2019 (Scopus Indexed). [Published]
  67. Md. Ashraful Alam*, Maffuze Subhani, Md. Sifatul Islam, Mohd. Zishan Tareque, M. Rashidur Rahman Rafi, Md. Shahinur Alam, Nam Kim, “Faster computation of elemental image generation for real-time integral imaging 3D display system using graphics processing unit and multi-directional projection scheme,” Advances of Display Technologies Conference (3D displays), SPIE Photonics West 2019, San Francisco, USA, 2-7 February, 2019 (Scopus Indexed). [Published]
  68. Md. Ashraful Alam*, Md. Sifatul Islam, Mohd. Zishan Tareque, Mahfuz Subhani Protik, Md. Rashidur Rahman Rafi, Md. Shahinur Alam, and Nam Kim, “Viewing angle enhancement of a real-time integral imaging system using multi-directional projections and GPU parallel processing,” Proceedings of Advances in Display Technologies Conference, SPIE Photonics West 2017, 28 January - 2 February 2017, San Francisco, USA (Scopus Indexed). [Published]
  69. Md. Ashraful Alam*, Maliha Tasnim Aurini, and Shitab Mushfiq-ul Islam, “3D visualization of 2D/360° image and navigation in virtual reality through motion processing via smart phone sensors,” Conference on Engineering Reality and Virtual Reality, Electronic Imaging 2019 (Symposium), 13-17 January, 2019, Burlingame, California, USA (Scopus Indexed/standard). [Published]
  70. Md. Ashraful Alam*, Intisar Hasnain Faiyaz, Sheakh Fahim Ahmmed Joy, Mehedi Hasan, and Ashikuzzaman Bhuiyan, “Augmented reality education system for developing countries,” Conference on Engineering Reality of Virtual Reality, Electronic Imaging 2019 (Symposium), 13-17 January, 2019 Burlingame, California, USA, (Scopus Indexed/standard)]. [Published]
  71. Alam, M. S., Kwon, K.-C., Zhao, Y., Alam, M. A., & Kim, N. (2017). Hand finger-joint based digit recognition. In International Conference on Convergence Content. Thailand. (Published)
  72. Alam, M. A., Jeon, B. S., & Kim, C. N. (2015). Time-multiplexed two-directional sequential projections for integral imaging 3D display. In 2015 11th Conference on Lasers and Electro-Optics Pacific Rim (CLEO-PR) (Vol. 2, pp. 1–2). Busan, South Korea: IEEE. https://doi.org/10.1109/CLEOPR.2015.7375958 (Published).
  73. Alam, M. A., Kwon, K.-C., Erdenebat, M.-U., Byeon, J.-A., & Kim, N. (2014). Viewing-angle-enhanced integral imaging system using multi-directional projections and elemental image resizing method. In L.-C. Chien, S.-D. Lee, & M. H. Wu (Eds.), Advances in Display Technologies IV (Vol. 9005). California, United States: SPIE. https://doi.org/10.1117/12.2039029 (Published).
  74. Phan, A.-H., Alam, M. A., Jeon, S.-H., Lee, J.-H., & Kim, N. (2014). Fast hologram generation of long-depth object using multiple wavefront recording planes. In H. I. Bjelkhagen & B. J. V. Michael (Eds.), Practical Holography XXVIII: Materials and Applications (Vol. 9006). California, United States: SPIE. https://doi.org/10.1117/12.2039018 (Published).
  75. Alam, M. A., Jeong, J.-R., & Kim, N. (2014). Time sequential two-directional projection scheme for integral imaging three-dimensional display. In Proceedings of Photonics Conference. Deagu, Korea.
  76. Alam, M. A., Piao, M.-L., Gang, L., Piao, Y.-L., & Kim, N. (2013). Three-dimensional projection-type integral imaging display system using directional projection and elemental image resizing method. In 2013 2nd International Conference on Informatics, Electronics and Vision, ICIEV 2013. Dhaka, Bangladesh: IEEE. https://doi.org/10.1109/ICIEV.2013.6572619 (Published).
  77. Alam, M. A., Gang, L., Piao, M.-L., Piao, Y.-L., & Kim, N. (2013). Projection-type integral imaging system with real object capturing without lens array using depth camera. In Proceedings of The 13th International Meeting on Information Display (IMID) 2013. Deagu, Korea.
  78. Alam, M. A., Baasantseren, G., Park, J.-H., Lee, K.-Y., Jeon, S.-H., & Kim, N. (2012). Viewing angle enhancement of integral imaging display system using multi- directional projection beams. Proceedings of 12th International Meeting on Information Display (IMID). Deagu, Korea. (Published).
  79. Alam, M. A., Lim, Y.-T., & Kim, N. (2012). Elemental image generation for multi-directional projection in integral imaging three-dimensional display system. In Proceedings of 19th Conferenrce on Opto-electronics and Optical Communication (COOC). Korea. (Published).
  80. Alam, M. A., Baasantseren, G., Kim, N., & Park, J.-H. (2011). Resolution enhancement of integral imaging three-dimensional display using multi-directional elemental images. In 49th Annual SID Symposium, Seminar, and Exhibition 2011, Display Week 2011 (Vol. 1, pp. 464–467). California, USA: Society for Information Display. (Published).
  81. Fairoz Nower Khan, Amit Hasan Khan, Ashraful Jannat, Noor E Nisa, Md. Ashraful Alam, Md. Shahinur Alam, Nam Kim, “Elemental Image and Audio Synchronization and Transmission Technique for Glass-Free 3D Internet TV System,” International Workshop on Computer Vision and Intelligent Systems (IWCVIS) 2019, Dhaka, Bangladesh, December 2019.
  82. Asif Iftekher, Tomalika Ghosh, Md Tanzim Reza, “N.P.K. Based Crop Suggesting Model Using Machine Learning Classifiers, International Workshop on Computer Vision and Intelligent Systems (IWCVIS) 2019, Dhaka, Bangladesh, December 2019.
  83. Tonni Das Jui and Md. Ashraful Alam, “Wireless Digital Notice Board Using GSM Module,” International Workshop on Computer Vision and Intelligent Systems (IWCVIS) 2019, Dhaka, Bangladesh, December 2019.
  84. Saffat Bokul, Samiha Sabrin Md Abdus Shukur, Tonmoy Kumar Bhowmick, Saquib Ahmed, Md. Ashraful Alam, “Classification of Non-Topological Magnetic Structures Using Machine Learning,” International Workshop on Computer Vision and Intelligent Systems (IWCVIS) 2019, Dhaka, Bangladesh, December 2019.
  85. Md Tanzim Reza, Md Ashraful Alam, Mohammad Ali Moni, “Classification of CNV, DME and Drusen using Macular Optical Coherence Tomography Images,” International Workshop on Computer Vision and Intelligent Systems (IWCVIS) 2019, Dhaka, Bangladesh, December 2019.
  1. Invited Speaker at the IEEE Computer Society Bangladesh Chapter Symposium 2024 hosted by Jagannath University.
  2. Invited by the Vice-Chancellor of ZHSUST and conducted a special seminar on “OBE Curriculum Development” at Z. H. Sikder University of Science and Technology(ZHSUST), Shariatpur, Bangladesh.
  3. Serving as an External Expert Member of the Faculty Recruitment Committee, Department of Computer Science and Engineering, Z. H. Sikder University of Science and Technology (ZHSUST), Shariatpur, Bangladesh.
  4. Served as Organizing Sub-committee Co-chair (https://ieee-csde.org/csde2022/committee/), IEEE CSDE 2022, Gold Coast, Australia.
  5. Served as a Session Chair at IEEE CSDE 2022, Gold Coast, Australia, December 2022.
  6. Serving as a committee member of 4IR Innovation Hub Project, Brac University funded by The High-Tech Park Authority Bangladesh, ICT Division, Bangladesh Government.
  7. Currently serving as a Committee Member of a development project of Bangladesh High- Tech Park Authority, ICT Division, Bangladesh Gov. Project named: " Establishment of Sheikh Hasina Institute of Frontier Technology" (2019/09 ~ present), Note: The main roles of the committee members are curriculum and operational eco-system development (2019 ~ present). Ref. No. - 56.02.0000.007.14.062.17.197.
  8. Currently serving as a Co-Chair in Technical Program Committee for the 2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (IEEE CSDE2020).
  9. Currently serving as a Technical Program Committee Member for the International Conference on Sustainable Technologies for Industry 4.0 (2021), Dhaka, Bangladesh.
  10. Served as a Tutorial Chair (Organizing Sub-Committee) for the 2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (IEEE CSDE2020).
  11. Served as a Session Chair (Special Session: 3D Vision, Augmented and Virtual Reality) for the 2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (IEEE CSDE2020).
  12. Served as Organizing Chair for the International Workshop on Computer Vision and Intelligent Systems [IWCVIS 2019] (2019), Dhaka, Bangladesh.
  13. Served as a conference Program Committee Member for the International Conference on Sustainable Technologies for Industry 4.0 (2019), Dhaka, Bangladesh.
  14. Served as a conference Session Chair for the International Conference on Sustainable Technologies for Industry 4.0 [STI 2019] (2019), Dhaka, Bangladesh.
  15. Served as a conference Session Chair for the IEEE International Conference on Computer and Information Technology [ICCIT 2016] (2016), Dhaka, Bangladesh.
  16. Lead Guest Editor for the special issue (3D display and Imaging) of the Journal of Electrical and Electronic Engineering, USA (2014).
  17. Editorial Board Member of the Journal of Electrical and Electronic Engineering, USA (2014 - 2018).
  18. Invited speaker, SPIE Defense + Commercial Sensing 2019, Baltimore, Maryland, USA (2019).
  19. Visiting Scholar, School of Information and communication Engineering, Chungbuk National University, South Korea (2020/02).
  20. Foreign Expert, OIP Lab, School of Information and communication Engineering, Chungbuk National University, South Korea (2017/10).
  21. Post-Graduate Thesis Defense Board Member, Department of Computer Science and engineering, BRAC University (2016 – till date).
  22. Undergraduate Defense Board Member & Coordinator, BRAC University (2016 – till date).
  23. *Invited as External Examiner of PhD Thesis, University of New South Wales(UNSW), Australia (2018).
  24. *Invited as External Examiner of PhD Thesis, GITAM University Hayatabad, India (2017).

1) Received an award "Early Career Research Award'' from an IEEE
conference "IEEE CSDE2020(2020 IEEE Asia-Pacific Conference on Computer Science
and Engineering)" held in Australia. (2020/12).


2) BK21 Scholarship (2010/03- 2015/02): Fully Funded PhD Scholarship funded by the
Korean Government for pursuing the PhD program at Chungbuk National University,
South Korea.


3) Chungbuk BIT Research Grant (2010).


4) BK21 Best Student Award (2014), College of Electrical and Computer Engineering,
Chungbuk National University, Korea.


5) Outstanding Student Paper Award (2011) at SID International symposium (SID Display
Week 2011) held in Los Angeles, CA, USA.

 

 

  1. BRAC University RSGI2024 Research Grant: BDT 750,000, Project: Evaluation of Earthquake of urban Building in Dhaka City using Image Processing and machine Learning techniques (2024-2025).
  2. BRAC University RSGI2024 Research Grant: BDT 650,000, Project: Developing urban design guidelines for climate resilient and inclusive built environment in Mongla Port Municipality (2024-2025).
  3. BRAC University RSGI2024 Research Grant: BDT 12,00,000, Project: Walkable Environments for People Living with Dementia (2023-2024). 
  4. Research Grant: BDT 250,000 (Grant No: 39.00.0000.009.06.024.19/ES 393) from the Ministry of Science and Technology, The People Republic of Bangladesh (2019-2020).
  5. BRAC University Research Grant for the establishment of CVIS Lab: BDT 15,20,900 Funded by BRAC University, Bangladesh (2018 – present).
  6. BRAC University Faculty Travel Grant (2020): BDT 1,40,500, To attend and speak at SPIE Photonics West 2020, San Francisco, CA, USA.
  7. BRAC University Faculty Travel Grant (2019): BDT 1,42,000, To attend and speak at SPIE Photonics West 2019, San Francisco, CA, USA.
  8. BRAC University Faculty Travel Grant (2018): BDT 1,54,000, To Speak at Medical, Imaging 2018, Huston, TX, USA BRAC University Faculty Travel Grant (2017): BDT 1,00,000, To attend and speak at SPIE Photonics West 2017, San Francisco, CA, USA.
  9. Chungbuk BIT Travel Grant (2011): USD 2,500, To attend and speak at the SID international symposium 2011 (SID Display Week 2011), Los Angeles, CA, USA.
  10. SID Student Travel Grant (2011): USD 750, Provided by the Society for Information Display (SID), USA.
  11. BK21 Travel Grant (2012): USD 2,500, To attend and speak at the ‘Electronic Display Conference 2012’ held in Nuremberg, Germany and APLOS 2012 in London, UK organized by ACM and Microsoft Research, UK.
  12. BK21 Travel Grant (2013): USD 1,500, To attend and speak at the ‘International Conference on Informatics, Electronics and Vision 2013’ held in Dhaka, Bangladesh.
  13. BK21 Travel Grant (2014): USD 2,500, To attend and speak at the ‘SPIE Photonics West 2014’ held in San Francisco, CA, USA.

UNDERGRADUATE

  • CSE463: Computer Vision: Fundamentals and Applications*
  • CSE423: Computer Graphics
  • CSE320: Data Communications
  • CSE360: Computer Interfacing
  • CSE341: Microprocessors
  • CSE260: Digital Logic Design
  • CSE101: Introduction to Computer Science

 

POSTGRADUATE

  • CSE720: Computer Graphics and Animation
  • CSE719: Speech Recognition
  • CSE714: Multimedia Systems

Thesis

Accepting

As:
  • Supervisor
  • Co-supervisor

Level:

Undergraduate & Postgraduate

Type:
  • Thesis
  • Project
  • Internship

Research Interest

  • Computer Vision 
  • Image Processing
  • Machine Learning and Deep Learning
  • CUDA Deep Neural Network (cuDNN)
  • Vision-Language Models (VLMs)
  • Medical Image and Data Analytics
  • 3D Vision
  • Machine Vision
  • Advanced Color Vision for Self-driving Cars & Industrial Solutions
  • Virtual and Augmented Reality

 

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