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Open Access
AI, IoT, Robotics Day at NSU observed
(New Nation, 2025-11-11) New Nation
North South University marked a significant milestone on 8 November with the celebration of AI, IoT & Robotics Day 2025, bringing together leading voices from academia and industry to highlight the future of a tech-driven Bangladesh. The event was organized by the School of Engineering and Physical Sciences (SEPS) in collaboration with the NSU ACM Student Chapter and the IEEE NSU Student Branch. Benajir Ahmed, founder life member of NSU, and panellists, including Hasibur Rashid, CEO, Intercloud Limited; Mohammad Nahidul Karim, ICT ministry; Mohammad Tawrit, CEO, BdREN; Safwat Ahmed, Selise Digital Platforms; and M Rokonuzzaman, professor, NSU, attended the discussion as special guests. The session chair was Professor Abdul Hannan Chowdhury, vice-chancellor of NSU.
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Open Access
Predicting Characteristics Associated with Breast Cancer Survival using Multiple Machine Learning Approaches
(North South University, 2021-12-30) Mohammad Nazmul Haque; Mohammad Monirujjaman Khan; 1712859042
Breast cancer is one of the most commonly diagnosed female disorders globally. Numerous studies have been conducted to predict survival markers, although the majority of these analyses were conducted using simple statistical techniques. In lieu of that, this research employed machine learning approaches to develop models for identifying and visualizing relevant prognostic indications of breast cancer survival rates. A comprehensive hospital-based breast cancer dataset was collected from the National Cancer Institute's SEER Program's November 2017 update, which offers population-based cancer statistics. The dataset included female patients diagnosed between 2006 and 2010 with infiltrating duct and lobular carcinoma breast cancer (SEER primary cites recode NOS histology codes 8522/3). The dataset included nine predictor factors and one predictor variable that were linked to the patients' survival status (alive or dead). To identify important prognostic markers associated with breast cancer survival rates, prediction models were constructed using K-nearest neighbor, decision tree, gradient boosting, random forest, adaboost, logistic regression, voting classifier, and support vector machine. All methods yielded close results in terms of model accuracy and calibration measures, with the lowest achieved from Logistic Regression (accuracy = 80.57 percent) and the greatest acquired from random forest (accuracy = 94.64 percent). Notably, the multiple machine learning algorithms utilized in this research achieved high accuracy, suggesting that these approaches might be used as alternative prognostic tools in breast cancer survival studies, especially in the Asian area.
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Open Access
Direct Industrial Experiment and Theoretical Studies for Fuel Level Monitoring of Vehicles
(North South University, 2019-10-30) Tofawel Ahmad Shahin; Md. Towhidur Rahman; Md. Shamim Reza; Md. Farhad Ibna Alam Sajib; Mahdy Rahman Chowdhury; 1521336045; 1512526043; 1511050043; 1511420043
Nowadays, actual record of fuel filled and fuel consumption in construction vehicles is not maintained, it results enormous financial loss. Advances in technologies and availability of economical open source hardware systems are setting a new trend in system designing. Use of technologies like Internet of Things (IoT) can ease the process of data collection and analysis. The main objective of the project is to describe a system which can monitor or track the location of the construction vehicles from a centralized place. System design will be generalized for monitoring different parameters like location, engine run hour, fuel consumption and many more. Proposed system uses open source sensor, controller in the back engine that support GSM or GPRS module for data transfer from remote location and GPS tracker to track the current location of those vehicles. There is huge amount of fuel theft usually happens from the vehicles nowadays. So, if the owners want to monitor the conditions of the vehicle by sitting at home such as to know the fuel level, to know the speed of the vehicle, then they can use this device. The device we wanted to make can solve those problems. In the device we used an Arduino mega which is connected with an accelerometer sensor (MPU 6050) and an SD Card module. In the Arduino mega we defined an analog pin(A0) and a digital pin (30) which is connected with the fuel line and the engine line of the particular vehicle. Then the ADC value and the values from the sensor we get from the Arduino is actually stored in the SD Card. After analysing the data, the fuel can be found. Our device is extremely cost effective, so the owners of any particular vehicle or any vehicle company can buy this device at a very lower price compared to the other fuel level monitoring device. It also improves the accuracy and the sensor we used in the device can be used in many different purposes.
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Open Access
এনএসইউতে মানবাধিকার ও জাতীয় নিরাপত্তা বিষয়ক আলোচনা সভা
(বণিক বার্তা, 2025-11-15) বণিক বার্তা
নর্থ সাউথ ইউনিভার্সিটির (এনএসইউ) মানবিক ও সামাজিক বিজ্ঞান অনুষদের উদ্যোগে ‘মানবাধিকার ও জাতীয় নিরাপত্তা: উন্মুক্ত সমাজে উন্মুক্ত কণ্ঠস্বর কেন প্রয়োজন’ শীর্ষক আলোচনা সভা অনুষ্ঠিত হয়েছে। সম্প্রতি বিশ্ববিদ্যালয়ের মুট কোর্টে আয়োজিত এ অনুষ্ঠানে প্রধান বক্তা ছিলেন সুইডেনের পররাষ্ট্র মন্ত্রণালয়ের মানবাধিকার, গণতন্ত্র ও আইনের শাসন-বিষয়ক রাষ্ট্রদূত ইরিনা শোলগিন নিওনি। এনএসইউ কোষাধ্যক্ষ ও উপ-উপাচার্য (ভারপ্রাপ্ত) অধ্যাপক আবদুর রব খানের সঞ্চালনা এবং সভাপতিত্বে আলোচনা সভায় সূচনা বক্তব্য রাখেন মানবিক ও সামাজিক বিজ্ঞান অনুষদের ডিন অধ্যাপক রিজওয়ানুল ইসলাম।
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Open Access
NSU Canteen Automation
(North South University, 2019-04-30) Mohammad Adib Khan; Rifat Arefin Badhon; Sarwat Islam Dipanzan; Mirza Mohammad Lutfe Elahi; 1430420042; 1511738042; 1510117042
North South University’s (NSU) canteen has seen a major revamp in both appearance and in the way the cafeteria operates. Over the years it has been the go-to place for students and teachers alike for a quick meal or refreshments in between hectic schedules. The recent changes, however, has affected the average waiting times substantially. The new canteen has adopted many new technologies such as electronic displays and Point of Sale (POS) systems for completing payments which is more advanced and offers credibility. But this creates an additional bottleneck in the total time spent on the actual service of ”getting the food”. The current mode of operation relies on having to stand in long queues for payments and then taking the payment slip (receipt) to another terminal to receive the food. Since the first queue builds up during peak hours, it creates a backlog of customers waiting in frustration. This is not only inefficient but time-consuming as well. This has affected a large number of daily customers for the cafeteria as time is scarce in the daily lives of academics, students and teachers alike. The solution we have devised is to offload the manual payment process to an online payment system using a payment processor hosted on a mobile device using a web application and Android. This will enable users to order and pay inside the canteen without having to resort to long queues. Users can use their bank accounts/cards for transferring funds to the application (canteen - account) which can be used for purchasing food inside the cafeteria. This will avoid the need for cash exchange at the counters, saving time and resources, reducing the need for additional queues.
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Open Access
NSU organises talk on human rights
(The Financial Express, 2025-11-15) The Financial Express
North South University’s school of humanities and social sciences organised a talk on ‘human rights and national security: why open societies need open voices’ at the NSU Syndicate Hall in Dhaka on Thursday. The keynote speaker was Irina Schoulgin Nyoni, ambassador for human rights, democracy and the rule of law at the Ministry for Foreign Affairs of Sweden. Professor Abdur Rob Khan, treasurer and pro-vice-chancellor, in-charge, at NSU, moderated the event. The session was part of the NSU SHSS Distinguished Lecture Series.
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Open Access
DISTRACTED DRIVER DETECTION USING MACHINE LEARNING AND DEEP LEARNING
(North South University, 2020-04-30) Ali Shahan; Enamul Haque; SHAHNEWAZ SIDDIQUE; 1520317042; 1531422642
One of the main reason of most car accidents is distracted driving, which is the act of driving while engaging in other such as texting, talking on the phone, etc. activities. Activities of that nature distract the driver from paying attention to the road. These distractions in turn compromise the safety of the driver, passengers, bystanders and others in other vehicles. 7,796 deaths due to accidents in 2018, a report of Bangladesh Passengers Welfare Association said at least 7,796 people were killed and 15,980 were injured in 6,048 accidents. The United States Department of Transportation states that one in five car accidents are caused by distracted drivers. This work looks at various images of distracted drivers taken from people performing different actions, some of which can be deemed as distracting whilst behind the wheel of a car. A mixture of various neural network is used in order to more accurately predict what activity a driver is being distracted by.
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Open Access
আলোকিত টিচার্স ও নর্থ সাউথ বিশ্ববিদ্যালয়ের মধ্যে চুক্তি সই
(প্রথম আলো, 2025-10-22) প্রথম আলো
আলোকিত টিচার্স লিমিটেড ও নর্থ সাউথ বিশ্ববিদ্যালয়ের (এনএসইউ) শিক্ষক প্রশিক্ষণ ও পেশাগত দক্ষতা বৃদ্ধির লক্ষ্যে সমঝোতা স্মারক স্বাক্ষর হয়েছে। এই অংশীদারত্বের লক্ষ্য—এনএসইউর একাডেমিক শ্রেষ্ঠত্ব ও আলোকিত টিচার্সের উদ্ভাবনী ও গবেষণাভিত্তিক পদ্ধতির মাধ্যমে দক্ষ ও সহানুভূতিশীল শিক্ষক গড়ে তোলা। সমঝোতা স্মারক স্বাক্ষর অনুষ্ঠানে উপস্থিত ছিলেন অধ্যাপক আব্দুল হান্নান চৌধুরী, উপাচার্য, নর্থ সাউথ বিশ্ববিদ্যালয় (এনএসইউ) এবং সেন্টার ফর সোশ্যাল ইমপ্যাক্ট অ্যান্ড সাসটেইনেবিলিটি (CSIS)-এর স্টিয়ারিং কমিটির অনারারি চেয়ার; শরীফ নুরুল আহকাম, সিএসআইএস-এর পরিচালক; হালিমুর রশিদ খান, অধ্যাপক ও পরিচালক, ইনস্টিটিউশনাল কোয়ালিটি অ্যাসিউরেন্স সেল (আইকিউএসি); সিনথিয়া ম্যাককিনি, পরিচালক, অফিস অফ এক্সটারনাল অ্যাফেয়ার্স, এনএসইউ; আজওয়া নাঈম, ব্যবস্থাপনা পরিচালক, আলোকিত টিচার্স; ব্রিগেডিয়ার জেনারেল (অব.) আবু নাঈম মো. শহীদুল্লাহ, পরিচালক, আলোকিত টিচার্স ও আলোকিত টিচার্সের অন্য সদস্যরা।
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Open Access
Face Verification with Liveness detection using Deep Learning
(North South University, 2022-12-31) Khaled Saifullah; Pervej Ahamed Joy; Shahin Arman Apu; Atiqur Rahman; 1632664642; 171307642; 1711280642
Numerous advancements in the area of face detection and liveness analysis have been made to improve device security and attendance verification systems. Several methods use the 3D facial model to estimate the authenticity of the individual in front of it. Without using complex 3D imaging techniques or technology, our solution attempts to account for this difficulty. As a result, the system is indeed more cost-effective and convenient. It is divided into two sections, the first of which aids in face recognition and the second of which checks the liveness of the face. We employed a model based on Google's FaceNet Model in the first stage that trains a mapping from face images to compact Euclidean space distances, specifically relating to the similarity measure between the faces. Face Recognition may be simply accomplished using normal approaches using embeddings as feature vectors after the space has been created. We built a cascaded multi-task architecture for the second segment that separates specific elements from the face picture and then uses their relative displacements to verify for liveness. These separated characteristics were utilized to test the liveliness of a person's face by having them do a series of activities in a random order, such as body and facial twitches. The FaceNet based face detection model has an accuracy of 90%, and the facial features extraction model has 97% accuracy. After merging both models in real-time, we have an accuracy of 90%
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Open Access
Near Field Optical Pulling Force on Plasmonic and Dielectric Nanoparticles Between Two Glass Substrates Using Plane Wave
(North South University, 2020) Md. Tarikul Islam; Mashiyat Khan; Mahdy Rahman Chowdhury; 1621448043; 1621327043
Optical pulling is getting huge attention in the optical manipulation field for its unique applications. Many tried to give their contribution to getting a good OPF over different particles. This technique is very popular from kid to scientist as an image of taking things into the spaceship using light comes to mind whenever we heard about OPF or tractor beam. We showed a tremendous way to get OPF in this report named, “Near Field Optical Pulling Force on Plasmonic and Dielectric Nanoparticles Between Two Glass Substrates Using Plane Wave” where we used two glass substrates in the homogeneous medium. We used COMSOL MULTIPHYSICS to calculate all the data and investigate different physics like electric field distribution, current density, arrow line, pointing vector, etc. We used two features of COMSOL MULTIPHYSIC named Multislice and Arrowline to investigate the physics working behind our research. We take an Airbox as the background medium and set all the necessary boundary conditions in the outer surface of the airbox. Inside the Airbox, two glass substrates have been placed and nanoparticles are put into them to find out the light-matter interaction. We projected a plane wave from the X direction where the electric polarization is set along the Y direction and magnetic polarization in the Z direction. In our setup, we used varying lambda ( ) as parametric sweep. Physics-defined mesh has been used and a slightly larger surface has been used for surface integration to calculate the force along every direction. We used gold and silver as plasmonic nanoparticles and silicon dioxide as dielectric nanoparticles in our experiment. We use two different sizes for investigation and come out with a good result. In short, our work is to see the light-matter interaction for the plan wave and how the interaction changes concerning the wavelength of the light.