Department: Mathematics, Statistics and Computer Science (MSCS) Cumulative GPA: 4.00 (Out of 4.00) Thesis: BEst (Biomarker Estimation): Health Bio-marker Prediction Noninvasively, Ubiquitously and Frequently Advisor: Professor Dr. Sheikh Iqbal Ahamed
Department: Advanced Information Technology Faculty: Information Science and Electrical Engineering, Kyushu University, Japan Theme of Study: Study on Improvement of Mobile Health Consultancy for Unreached Communities
Specialization: System and Networks (Two years program) Department: Department of Information Engineering and Computer Science Thesis: Integrating Ontological Representation of Process in Collaborative Environment Advisor: Professor Dr. Paolo Bouquet, Department of Information Engineering and Computer Science, University of Trento, Italy and Dr. Luciano Serafini, Data and Knowledge Management Research Unit, Fondazione Bruno Kessler (FBK), Trento, Italy
Department: Computer Science and Engineering (Four years program) Thesis: Swarm Intelligence: Modification and application of Ant Colony System (ACS) Algorithm Advisor: Professor Dr. MMA Hashem , Department of Computer Science and Engineering (CSE), KUET
I am interested in understanding how we can reliably estimate blood hemoglobin level noninvasively and explore other blood constituent levels applying medical image processing techniques, advanced machine learning algorithms, and complex data analysis procedures. To that end, I'm particularly interested in developing low-cost medical and wellness applications leveraging the sensing and computing power of a smartphone, the best candidate for a point of care tool. Besides hemoglobin project, I have a couple of collaborative research engagements which are briefly illustrated here. (details...)
Hemoglobin level estimation process focuses on the fingertip video and lower eyelid image of an individual, inspired by the new computational imaging paradigm to develop a smartphone-based low-cost and reliable blood diagnosis tool. Our both fingertip and eyelid-based methods effectively estimate the hemoglobin level as well as significantly outperform existing methods applying advanced machine learning algorithm such as the deep convolutional neural network. (BEst and SHeA)
Since patients have limitations to provide self-reported pain symptoms, we have investigated how mobile phone application can play the vital role to help the patients to detect their pain level using their facial images captured by a smart phone. The proposed algorithm has been used to classify faces, which is represented as a weighted combination of Eigenfaces. We apply angular distance and support vector machines (SVMs) on longitudinal and cross-sectional pain images collected from three different countries: Bangladesh, Nepal and the United States. (details...)
For physical activities detection, we have used a smartphone with built-in accelerometers and gyroscopes and developed a multimodal system using pressure sensor data from shoes. We also considered the sensor data as time series shapelets, used our algorithms to differentiate the shapelets, and applied Gaussian Mixture Models with time-delay embedding for detecting different activities. (details...)
In high-risk pregnancies, knowledge of prematurity is important for critical decisions such as the timing and mode of delivery, whether or not to resuscitate the newborn if delivered in the periviable (22 - 24 weeks) period, and whether neonatal intensive care treatment should be stopped if significant complications arise. Here, we approach a smartphone-based educational program that provides anticipatory guidance to parents with prematurity-associated risk factors and gives the opportunity to improve on current prematurity care and parental decision-making. (details...)
Hasan, Md Kamrul, Md Munirul Haque, Riddhiman Adib, Jannatul F. Tumpa, Richard R. Love, Young L. Kim, Sheikh I Ahamed. "SmartHeLP: Smartphone-based Hemoglobin Level Prediction Using an Artificial Neural Network." Accepted in AMIA Annual Symposium Proceedings, American Medical Informatics Association, 2018.
Hasan, Md Kamrul, Munirul Haque, Nazmus Sakib, Richard Love, and Sheikh I. Ahamed. "Smartphone-based Human Hemoglobin Level Measurement Analyzing Pixel Intensity of a Fingertip Video on Different Color Spaces." Smart Health 5 (2018): 26-39.
Hasan, Md Kamrul, Nazmus Sakib, Joshua Field, Richard R. Love, and Sheikh I. Ahamed. "A Novel Technique of Noninvasive Hemoglobin Level Measurement Using HSV Value of Fingertip Image." In 2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC), pp. 221-229. IEEE, 2017.
Ahsan, Golam MT, Md O. Gani, Hasan, Md Kamrul, Sheikh I. Ahamed, William Chu, Mohammad Adibuzzaman, and Joshua Field. "A Novel Real-Time Non-invasive Hemoglobin Level Detection Using Video Images from Smartphone Camera." In Computer Software and Applications Conference (COMPSAC), 2017 IEEE 41st Annual, vol. 1, pp. 967-972. IEEE, 2017.
Hasan, Md Kamrul, Nazmus Sakib, Richard R. Love, and Sheikh I. Ahamed. "Analyzing the existing noninvasive hemoglobin measurement techniques." In Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON), 2017 IEEE 8th Annual, pp. 442-448. IEEE, 2017.
Hasan, Md Kamrul, Nazmus Sakib, Richard R. Love, and Sheikh I. Ahamed. "RGB pixel analysis of fingertip video image captured from sickle cell patient with low and high level of hemoglobin." In Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON), 2017 IEEE 8th Annual, pp. 499-505. IEEE, 2017.
Hasan, Md Kamrul, Sakib, N., Field, J., Love, R. R., & Ahamed, S. I. (2017). Bild (Big Image n Less Dimension): A Novel Technique for Image Feature Selection to Apply Partial Least Square Algorithm. In Biomedical Conference (GLBC), 2017 IEEE Great Lakes (pp. 1-1). IEEE.
Hasan, Md Kamrul, Sakib, N., Field, J., Love, R. R., & Ahamed, S. I. (2017). A Novel Process to Extract Important Information From Invisible Video Captured by Smartphone. In Biomedical Conference (GLBC), 2017 IEEE Great Lakes, (pp. 1-1). IEEE.
Hasan, Md Kamrul, Golam Mushih Tanimul Ahsan, Sheikh Iqbal Ahamed, Rechard Love, and Reza Salim. "Pain Level Detection From Facial Image Captured by Smartphone." Journal of Information Processing 24, no. 4 (2016): 598-608.
Kawsar, F., Hasan, Md Kamrul, Roushan, T., Ahamed, S. I., Chu, W. C., & Love, R. (2016). Activity Detection Using Time Delay Embedding in Multi-modal Sensor System. In International Conference on Smart Homes and Health Telematics (pp. 489-499). Springer, Cham.
Johnson, N, Saxena,P, Williams, D, Bangole, O.C., Hasan, Md Kamrul, Ahamed, S.I., Smith, R.O., & Tomashek, D. (2015). Smartphone-based light and sound intensity calculation application for accessibility measurement. Platform session at the RESNA 38th International Conference on Technology and Disability.
Williams, D, Johnson, N, Bangole, O.C., Hasan, Md Kamrul, Tomashek, D, Ahamed, S.I. & Smith, R.O. (2015). Access Tools: Developing a Usable Smartphone-Based Tool for Determining Building Accessibility. Platform session at the RESNA 38th International Conference on Technology and Disability.
Kawsar, F., Hasan, Md Kamrul, Love, R., & Ahamed, S. I. (2015). A novel activity detection system using plantar pressure sensors and smartphone. In Computer Software and Applications Conference (COMPSAC), 2015 IEEE 39th Annual (Vol. 1, pp. 44-49). IEEE.
Hasan, Md Kamrul, Khan, J. I., Ahmed, R., Hossain, M. M. A., & Nur-Us-Shams, M. (2014). Road structure analysis using GPS information. In Electrical Information and Communication Technology (EICT), 2013 International Conference on (pp. 1-6). IEEE.
Hassan M, Hasan, Md Kamrul, Hashem MM. An Improved ACS Algorithm for the Solutions of Larger TSP Problems. arXiv preprint arXiv:1304.3763. 2013 Apr 13.
Hasan, Md Kamrul, Ahsan AA, Hossain MJ. IEEE 802.11 b ad hoc network: Performance analysis is a primary issue. InInformatics, Electronics & Vision (ICIEV), 2012 International Conference on 2012 May 18 (pp. 469-475). IEEE.
H. Mahmud, S.M. Didar-al-alam, M.S. Morshed, M.O. Haque, Md. Kamrul Hasan, Designing access control model and enforcing security policies using PERMIS for a smart item E-health scenario, International Journal of Engineering Science and Technology, Vol. 2(8), 2010, 3777-3787.[ Journal Link ]
Hasan, Md Kamrul, AHM Amimul Ahsan, and M. Mostafizur Rahman. "IEEE 802.11 b Packet Analysis to Improve Network Performance." JU Journal of Information Technology (JIT) 1 (2012): 27-28.
Ghidini, C., Hasan, Md Kamrul, Rospocher, M., & Serafini, L. (2009). A proposal of merging axioms between bpmn and dolce ontologies. Technical report, FBK-irst, 2009. https://dkm. fbk. eu/index. php/BPMN Related Resources.
Md Kamrul Hasan, Richard Love, Sheikh Iqbal Ahamed. NICE HELP: Non-Invasive Computational Evolution (NICE) for Hemoglobin Level Prediction (HELP). Poster is presented at the IEEE Conference on Biomedical and Health Informatics (BHI) 2018; 2018 March 4-7; Las Vegas, Nevada.
Md Kamrul Hasan, Anmol Paudel, Richard Love, Sheikh Iqbal Ahamed. ProPar HELP: Programming in Parallel (ProPar) for Hemoglobin Level Prediction (HELP). Poster is presented at the IEEE Conference on Biomedical and Health Informatics (BHI) 2018; 2018 March 4-7; Las Vegas, Nevada.
Md Kamrul Hasan, Jordan Trinka, Michelle A. Visbal Onufrak, Md Munirul Haque, Young L. Kim, Sheikh Iqbal Ahamed. Develop a Conversion Matrix Using Hyperspectral and RGB Data for Noninvasive Hemoglobin Level Measurement. Poster presented at Forward Thinking Poster Session and Colloquy; 2017 Nov 28; Marquette University, Milwaukee, WI.
Md Kamrul Hasan, Nazmus Sakib, Joshua Field, Richard R. Love and Sheikh I. Ahamed: BILD (Big Image in Less Dimension): A Novel Technique for Image Feature Selection to Apply Partial Least Squared Algorithm, 2017 IEEE Great Lakes Biomedical Conference (GLBC); 2017 April 06 - 07; Milwaukee, WI.
Md Kamrul Hasan, Nazmus Sakib, Joshua Field, Richard R. Love and Sheikh I. Ahamed: A Novel Process To Extract Important Information From Invisible Video Captured by Smartphone, 2017 IEEE Great Lakes Biomedical Conference (GLBC); 2017 April 06 - 07; Milwaukee, WI.
Md Kamrul Hasan, Richard Love, MD, Sheikh Iqbal Ahmed. Globally Food and Nutrition Level Detection Using Smartphone Camera Image. Poster presented at Forward Thinking Poster Session and Colloquy; 2016 Nov 29; Marquette University, Milwaukee, WI.
Md Kamrul Hasan, Richard Love, MD, Sheikh Iqbal Ahmed: Novel Data Collection Technique Using Smartphone Camera for Image and Spectrum Analysis. Poster presented at Forward Thinking Poster Session and Colloquy; 2016 Nov 29; Marquette University, Milwaukee, WI.
Md Kamrul Hasan, GM Tanimul Ahsan, Amit Kumar Saha, Sheikh Iqbal Ahamed, Richard Love : Noninvasive Hemoglobin Level Measurement Using Spectroscopy. Poster presented at the 40th IEEE Computer Society International Conference on Computers, Software & Applications (COMPSAC); 2016 June 10-14; Atlanta, GA.
Md Kamrul Hasan, GM Tanimul Ahsan and Amit Kumar Saha and U. Olivia Kim and Mir A. Basir and Sheikh Iqbal Ahamed. Mobile Based Learning Architecture for Expectant Parents of Premature Babies. Poster presented at The 17th International Workshop on Mobile Computing Systems and Applications (HotMobile); 2016 23-24 Feb; St. Augustine, FL.
Golam Mushih Tanimul Ahsan, Md Kamrul Hasan. Noninvasive way hemoglobin level measurement using smartphone. Poster presented at Forward Thinking Poster Session and Colloquy; 2015 Dec 1; Marquette University, Milwaukee, WI.
Md Kamrul Hasan, Golam Mushih Tanimul Ahsan. Personalized Mobile Based Learning Tool for Pregnant Women Regarding Premature Baby. Poster presented at Forward Thinking Poster Session and Colloquy; 2015 Dec 1; Marquette University, Milwaukee, WI.
Mohammad Adibuzzaman, Golam Golam Mushih Tanimul Ahsan, Md Kamrul Hasan. Pain Level Measurement Using Facial Images. Poster presented at Forward Thinking Poster Session and Colloquy; 2015 Dec 1; Marquette University, Milwaukee, WI.
Drew Wiliams, Nadiyah Johnson, Ola Clair Bangole, Md Kamrul Hasan, Dennis Tomashek, Sheikh Iqbal Ahamed, Roger O. Smith. Towards a Usable Smartphone-Based To Determine Building Access Levels. Poster presnted at Computational Sciences Symposium; 2015 April 21, Marquette University, Milwaukee, WI.
Golam Mushih Tanimul Ahsan, Md Kamrul Hasan, Duc Do, Mohammad Adibuzzaman. Analysis of Mini Video images from Cellphone camera for Hemoglobin Level Assessment. Poster presented at Computational Sciences Symposium; 2015 April 21; Marquette University, Milwaukee, WI.
Marquette University Arthur J. Schmitt Leadership Fellowship to continue doctoral education at Marquette University including a ten-month stipend is provided to me considering a strong background of academic and research excellence, a record of demonstrated leadership, scholarship, and personal characteristics that is aligned with the university’s mission values of excellence, faith, leadership, and service
Computational Sciences Summer Research Fellowship to accomplish summer research which was supported by the department of Mathematics, Statistics and Computer Science, Marquette University (a limited number of students are allowed to receive the CSSRS Fellowship competing with all enrolled doctoral students in the Computational Sciences Program)
Graduate Student Research Travel Awards by Marquette University to present posters at the IEEE Conference on Biomedical and Health Informatics (BHI) 2018 and the IEEE Conference on Body Sensor Networks (BSN) 4-7 March 2018, Treasure Island, Las Vegas, NV
Registration Support by Marquette University to attend the 2017 HHS SBIR/STTR Conference, Milwaukee, WI where we learn about the America’s Largest Seed Fund and how to apply for these commercialization dollars in this three-day national conference
Marquette University Travel Support to present two papers at the 8th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication (UEMCON) Conference organized by Columbia University, New York City, NY, USA 19-21 October 2017
Computational Sciences Summer Research Fellowship by the department of MSCS, Marquette University to continue research work in summer
NSF Travel Award to join the Mason Modeling Days organized by the Department of Mathematical Sciences of George Mason University, VA, June 28-July 1, 2017
Graduate Student Research Travel Awards (GSRTA) by Marquette University to attend the Conference in Yale University, New Haven, CT
Intel Travel Grant to join the PETSc User Meeting, University of Colorado Boulder, Boulder, Colorado
Travel Award from University of Southern California (USC) to join the Conference on Nonconvex Statistical Learning 2017 at the USC
Travel Award by Bangladesh-Sweden Trust fund, Bangladesh
Travel Support by Iowa State University to join the Midwest Big Data Summer School, Ames, Iowa
Travel Award by COMPSAC to present a poster at the 40th IEEE COMPSAC Conference, Atlanta, GA
Graduate Student Research Travel Awards by Marquette University to present a poster in HotMobile 2016, St. Augustine, Florida
Japanese Government Monbukagakusho (MEXT) Scholar, as Research Student at Kyushu University, Japan
Scholarship for Higher Education, by Opera Universitaria di Trento, Italy
Merit Award Scholarship, for the excellent academic result at Khulna University of Engineering and Technology, Bangladesh
-Investigate human hemoglobin analyzing fingertip videos captured under different infrared lights -Explore fingertip videos to estimate other blood components such as glucose, HbA1c, Blood Urea Nitrogen, SPO2, and heart rate -Analyze hyperspectral data of lower eyelid image for hemoglobin level identification noninvasively (NIH funded project) -Design and develop prediction model using machine learning algorithm
-Explore human hemoglobin value via fingertip video captured by smartphone -Implement virtual hyperspectral imaging (VHI) that converts conventional RGB images to hyperspectral images by using advanced regression techniques -Studied hyperspectral responses of lower eyelid image -Applied medical data analysis and regression techniques to predict hemoglobin level -Developed a smartphone-based educational program that provides anticipatory guidance to parents with prematurity-associated risk factors to improve on current prematurity care and parental decision-making (NIH funded project)
-Served as lab instructor of Computer Science (COSC) 1010 titled as Introduction to Computer Programming and COSC 1020 (Object-Oriented Software Design) where about sixty students in total were actively participated to learn computer programming -Taught three hours quiz session (twice in a week) where about twenty-five undergraduate students attended per quiz section of Calculus-II and Calculus-III (MATH 1451, and MATH 2450) -Maintained office hours and graded quizzes, midterm and final examination with the course instructor -Attended different research meetings, colloquiums, workshop, and presentation -Analyzed fingertip video captured by smartphone
-Served as department chair (2009 - 2011 and 2013 - 2014) -Taught Software Engineering, Data Structures and Algorithm, Web Programming, Programming in C/C++ and Object-Oriented Programming in Java. -Supervised one-year undergraduate thesis/projects and culminated in capstone presentation -Coached ACM (Association for Computing Machinery) Programming Contestants of PSTU Branch -Guided the students in different extracurricular activities: workshop, programming contest, study tour, software showcase, and IT carnival (Website).
Responsibilities: Designed and developed online banking software using Oracle developer and Oracle database, supported the bank management staff with software troubleshooting for secure transaction
Responsibilities: Developed biometric fingerprint and payroll application using Microsoft Visual Basic, Microsoft SQL Server, and Crystal Reports, mentored junior software engineer in India, and helped the human resource (HR) division to select IT professionals.
-Mobile and Applications Track, ACM SAC 2018, The 33rd ACM/SIGAPP Symposium on Applied Computing, Pau, France, April 9 - 13, 2018 -Embedded Internet of Things, IEEE COMPSAC 2017, The 41st IEEE International Conference on Computer, Software & Applications (COMPSAC), Turin, Italy, July 4-8, 2017 -Mobile and Applications Track, ACM SAC 2017, The 32nd ACM SIGAPP Symposium On Applied Computing. Marrakech, Morocco April 4-6, 2017
-Reviewer of Applied Spectroscopy journal, Society for Applied Spectroscopy -Proceedings Co-Chair, COMPSAC 2018, The 42nd IEEE International Conference on Computer, Software & Applications (COMPSAC), Tokyo, Japan, July 23-27, 2018 -Web-Chair, COMPSAC 2016}, The 40th IEEE International Conference on Computer, Software & Applications (COMPSAC), Atlanta, GA, USA, June 10-14, 2016 -Reviewer, The IEEE Internet of Things Journal 2015 -MyReview-Chair, COMPSAC 2015, The 39th IEEE International Conference on Computer, Software & Applications (COMPSAC), Taichung, Taiwan, July 1 – 5, 2015
-Faculty member, Computer and Communication Engineering (CCE) Department -Courses taught: Object oriented programming, Data Structure, Compiler Design, Networking, and Software Engineering -Lectured on Basic computer programming in the faculty of agriculture and buisness administration for three semesters at PSTU (2010-2014) (Website)
-MIS & E-Business (MIS-520) to the MBA Program at the ACME IT Limited, Dhaka, Bangladesh (2007) -Computer Operation to the college teachers at the Technical Training Center, Barisal, Bangladesh (2006) -Computer basic course to the young nontechnical graduate students at the Department of Youth Development, Patuakhali, Bangladesh (2006) -ICT for Improved Learning & Education to the high school teachers in Patuakhali, Bangladesh (2006)
-Organized Ankur Undergraduate Scholarship for the students of Patuakhali Science and Technology University (PSTU) which helps financially challenged talented students at PSTU, Bangladesh
-Talked on Workshop to raise awareness on mobile application development organized by the ICT Division for the National Mobile Application Development Awareness & Capacity Building Program with the goal of helping the youth of Bangladesh (2014) -Gave a talk in Barguna District of Bangladesh on How can a Hi-Tech Park play bolder role to build a Digital Bangladesh? organized by the Bangladesh Hi-Tech Park (2013) -Presented a seminar on Public Services at the Door Step in Barisal Distric of Bangladesh organized by the Barisal Divisional Commissioner Office and supported by the Bangladesh Computer Council (2013) -Gave a talk in Jhalokadhi District of Bangladesh on Hi-Tech Park, IT Village, and Software Technology Park establishment in Barisal Division of Bangladesh organized by the Barisal Divisional Commissioner Office (2013), Bangladesh -Presented a seminar in Patuakhali District of Bangladesh on National Portal Framework (NPF), National E-service System (NESS) and Digital Bangladesh establishment strategy organized by the Bangladesh Computer Council (2013)
-Attended and assisted the PI to receive a micro-grant arranged by the Center for Technology Commercialization for business validation activities (equivalent to the CTC Business & Commercialization micro-grant Stage 1 efforts). Efforts are customized with CTC after the main SBIR Ready programming and will only be granted to teams prepping for an SBIR submission.
-Attended MMLS 2018 organized by the UChicago. The MMLS aims to convene regional machine learning researchers for stimulating discussions and debates, to foster cross-institutional collaboration, and to showcase the collective talent of machine learning researchers at all career stages.
-Joined the SBIR Ready program coordinated by the Center for Technology Commercialization (CTC) that supports Wisconsin Innovators and technology-based firms from Feasibility to Funding, provide hands-on coaching and counseling in: Feasibility analysis using Lean Startup, Federal funding through SBIR/STTR grants and contracts, and Business and commercialization planning.
-It was a one-day dynamic and innovative program is designed for students interested in exploring the best approaches to leadership based on their unique talents and interests. This program was offered by the Marquette University Graduate School with generous support from the Arthur J. Schmitt Foundation (Monday, April 23, 2018).
-Attended the meeting organized by the Office of Statistical Consulting and Training (OSCT), Marquette University, April 13, 2018
-Joined the Mason modeling days organized by the Department of Mathematical Sciences of George Mason University. It was a 4-day Mason Modeling Days workshop (June 28-July 1, 2017) at Key Bridge Marriott hotel in Rosslyn, VA. The aim of the workshop was to get together groups of undergraduate, graduate students and faculty from different universities around the country to work on real-life applied mathematics problems arising in other disciplines. Participants were engaged in intensive brainstorming sessions and present their findings in a form of a written report and an oral presentation during the last day of the workshop.
-Attended the workshop arranged by the Yale University (June 9-10, 2017). This was a two-day workshop which featured ten speakers that celebrated the far-reaching impact in applied mathematics of the work of both Charlie Epstein and Leslie Greengard. The topics included fast algorithms, PDEs and integral equations, medical imaging, numerical analysis, population genetics, and data analysis. (https://cims.nyu.edu/~oneil/egfest2017/)
-Joined the meeting torganized by the University of Colorado Boulder, College of Engineering and Applied Science, Boulder, Colorado June 14-16, 2017. PETSc, the Portable, Extensible Toolkit for Scientific Computing, is one of the world’s most widely used software libraries for high-performance computational science. The workshop provided themes on the Algorithms: Presentations on advanced algorithms that use PETSc, Applications: Presentations on large-scale application codes that use PETSc. High-performance numerical software library design, Future directions, including new hardware architectures (http://www.mcs.anl.gov/petsc/meetings/2017/index.html).
-Attended the Conference on Nonconvex Statistical Learning held at the University of Southern California May 26-27, 2017. The goal of the conference was to pull together “researchers at all levels, from established to junior, and from cross disciplines that include computational and applied mathematics, optimization, statistics, computer science, and engineering to report on the state of the art of the conference subject, to exchange ideas for its further development, and to foster collaborations among the participants with the goal of advancing the science of the field of tistical learning and promoting the interfaces of the involved disciplines.”
2. Mentor the graduate students briefing the research area of the Ubicomp Lab of MSCS Department 1. Support the graduate students in data analysis, machine learning algorithms, research paper writing, and research engagement
3. Title: Feature Engineering of a Video Captured by a Smartphone (2018) Students: Md. Rezwanul Haque and S.M. Taslim Uddin Raju, Department of Computer Science and Engineering, KUET 2. Title: Physiological Data Collection Process Using a Smartphone (2018) Students: Hasib Iqbal Pranto and Tusher Mondol, Department of Computer Science and Engineering, KUET 1. Title: A Study on Non-invasive Blood Glucose Measurement Techniques and Predictions (2017) Students: Ishrak Islam Zarif and Mahmudul Hasan, Department of Computer Science and Engineering, KUET Supervisor: Dr. M.M.A Hashem, Professor, Department of Computer Science and Engineering (LinkedIn)
10. Title: GPS map crowdsourcing Students: Mahadi Hasan, Tariqul Islam and Soumitra Sarkar 9. Title: Public Health Crisis Management using Smartphone-based Crowdsourcing Approach Students: Moinul Islam Sayed and Md Abdul Alim Forazy 8. Title: Smart Solar Panel: Rotation Aligned with the Sun Enhance Energy Storage Students: Tuhin Shuvra Das, Fazly Rabbi, Tuhin Shuvra, H M Ashaduzzaman and Litan Sarker 7. Title: Establishment of online based PSTU Information System targeting Accounts Section Students: Foiez Ahmed Mazumder, Md. Shamim Hasan and Md. Tanvir Morshed Nadim 6. Title: Online-based University Website Development Using 3-Tier Web Architecture in J2EE technology Students: Kamrul Hasan Samim, Shohada Sharmin Anny, and Sadia Arabi 5. Title: MAC, Routing and Topology Analysis of Wireless Sensor Network Based on Energy and Lifetime Students: Sajol Saha, Md. Syful Islam, and Tamim Al Mahmud 4. Title: Faster Road Mapping Technique Through Digital Map Matching In Crowdsourcing Approach Students: Md Shaha musabbir Miraj and Md Zahid Hasan 3. Title: Digital Mapping with GPS Data in Crowdsourcing Approach Students: Shuvankar Paul, Antor Dey, and Md. Jakir Hossen 2. Title: Farmer Assistant: The Online plant clinic for Agriculture (Android-based Application) Students: Mrinmoy Das, Subrata Kumer Gain and Barun Kumar Biswas 1. Title: Establishment of online based PSTU Information System targeting Academic and Administration Students: Syed Ashik Mahmud, Jagonnath Dutta and Kanij Fatema Sharme Website