Mohammad Osman Gani

I am working as a Visiting Assistant Professor in the Department of Computer Science and Software Engineering at Miami University, USA. I am also a member of the SMART (Social-Mobile-and-Internet-of-Things) research group. I completed a Ph.D. in Computational Sciences from Marquette University. I received my B.Sc. degree in Computer Science and Engineering from Military Institute of Science and Technology (MIST), Bangladesh and M.Sc. degree in Computational Sciences from Marquette University, USA.

My research centers in an interest in contributing to a deeper understanding of the context in big data ubiquitous computing environment. My research interests include artificial intelligence, data science, machine learning, ubiquitous computing, indoor localization, and human activity recognition. The foundation of my research has applied the knowledge from computer science, applied mathematics, and statistics. I have experience in developing mathematical models, performing data analysis, applying statistical and machine learning techniques, and building mobile computing systems. My researches have been applied in multiple areas including healthcare, rehabilitation research, occupational science, psychology, microbiology, and pervasive computing.

I strongly believe in the importance of education in a society. Computer science is a unique field of study which is now being applied to a wide range of areas from biology to space research. I believe that the importance of computer science education is more essential than ever before. I consider teaching an integral part of being a researcher, and I am committed to providing an excellent classroom experience for both undergraduate and graduate students. It is a wonderful opportunity to educate and influence students that comes with an awesome responsibility.

I hope you enjoy my website and find some useful information here. Please feel free to contact me if you have any questions.

8

Years of experience in Research and Teaching



What a long strage trip it's been...

Peer-Reviewed Publications

  • Md Osman Gani, G M T Ahsan, Amit Kumar Saha, Sheikh Iqbal Ahamed, Roger O. Smith, “A Novel Framework to Recognize Complex Activity”, IEEE 41st Annual Computer Software and Applications Conference, Turin, Italy, July 2017.
  • G M T Ahsan, Md Osman Gani, MD K Hasan, Sheikh I Ahamed, W Chu, Mohammad Adibuzzaman, Joshua Field, "A Novel Real-Time Non-Invasive Hemoglobin Level Detection Using Video Images from Smartphone Camera", Workshop, IEEE 41st Annual Computer Software and Applications Conference, Turin, Italy, July 2017.
  • Md Osman Gani, Taskina Fayezeen, Sheikh Iqbal Ahamed, Richard J. Povinelli, “Computationally Efficient Human Activity Modelling and Its Application as a Service in Android Framework”, ACM HotMobile, 2016, FL, USA.
  • Md Osman Gani, Golam Mushih Tanimul Ahsan, Duc Do, Drew Williams, Mohammed Balfas , Sheikh Iqbal Ahamed, Muhammad Arif, Ahmed J. Kattan, A Novel Approach for localization in crowded area, IEEE Healthcom, Munich, Germany, September, 2016.
  • Williams Drew, Md Osman Gani, Ivor D, “Challenges in Developing Applications for Aging Populations”, Optimizing Assistive Technologies for Aging Populations, 1, 2015, IGI Global.
  • Md Osman Gani, Taskina Fayezeen, Sheikh Iqbal Ahamed, Dennis B. Tomashek, Roger O. Smith, “Simple Activity Recognition Using Smartphone Technologies For In-Home Rehabilitation”, RESNA 2015 Annual Conference, June 2015, Denver, Colorado, USA.
  • Md Osman Gani, Sheikh Iqbal Ahamed, Samantha Ann Davis, Roger O. Smith, An Approach to Complex Functional Activity Recognition using Smartphone Technologies, RESNA 2014 Annual Conference, June 11 -15, 2014, Indianapolis, IN, USA.
  • F. Rahman, Md Osman Gani, G. M. T. Ahsan, and S. I. Ahamed, Seeing beyond visibility: A Four Way Fusion of User Authentication for Efficient Usable Security on Mobile Devices, IEEE 8th International Conf. on Software Security and Reliability-Companion, June 30 - July 2, 2014, San Francisco, CA, USA.
  • N. Johnson, O. Bree, E. Lalley, K. Rettler, Md Osman Gani, S. Ahamed, Effect of a Social Script iPad Application for Children with Autism Going to Imaging, Journal of Pediatric Nursing, Elsevier, 2014.
  • Md Osman Gani, Casey O’Brien, S I Ahamed, Roger O Smith, “RSSI based Indoor Localization for Smartphone using Fixed and Mobile Wireless Node”, IEEE 37th Annual Computer Software and Applications Conference (COMPSAC), July 22-26, 2013, Kyoto, Japan.
  • S I Ahamed, C S Hasan, M M Haque, Md Osman Gani, “Towards TTP-Free Lightweight Solution for Location Privacy Using Location-Based Anonymity Prediction”, ACM Research in Applied Computation Symposium, November 2011, Miami, FL, USA
  • Md Osman Gani, MA Hossain, SIB Ashraf, N Malik, B Hossain, H Sarwar “Recursive implementation of Markov Model, A new approach”. Workshop of 25th International Conference on Advanced Information Networking and Applications, org. by ACM and IIR, Biopolis, Singapore, March 2011.
  • Mahbub, Md Osman Gani, Samiul, Imtiaz and Akhter “Computational Model for Bangla Text to Braille Translation”, International Conference on Computer Processing of Bangla, February 2011, Bangladesh.
  • Imtiaz, Samiul, Md Osman Gani, Mahbub and Akhter “Architecture & Implementation of Bangla Text to Braille Translation”, International Conference on Computer Processing of Bangla, Feb. 2011, Bangladesh.
  • Md Osman Gani, Hasan Sarwar, Chowdhury Mofizur Rahman “Prediction of state of wireless network using Markov and Hidden Markov Model”, Journal of Networks, Dec 2009, Academy Publisher, Finland.
  • Md Osman Gani, Iftekhar Jahan Mehedi, Mehnaz Seraj, Hasan Sarwar, and Chowdhury Mofizur Rahman, title “Prediction of the density of the Active Wireless device using Markov Model”, IEEE International Conference on Computer and Information Technology (ICCIT), Dec 2008, Bangladesh.
  • Taskina Fayezeen, Md Osman Gani, Sheikha Iqbal Ahamed, "mHealth System for the Patients with Arthritis", Proceedings of the Forward Thinking Poster Session, Marquette University, WI, USA, Nov. 2015. (Best Research Poster)
  • Johnson, N., Kabobel, O., Lalley, E., Retler, K., Grande, P., Unetesch, R., Coffey, M., Haberlin, S., Gani, Md O., & Ahamed, S.I. Effect of an IPAD Application for Medical Imaging Procedure Preparation for Children with Autism Spectrum Disorder. 11th International Family Nursing Conference. Minneapolis, June 19–22, 2013.
  • Johnson, N., Kabobel, O., Lalley, E., Retler, K., Grande, P., Unetesch, R., Coffey, M., Haberlin, S., Gani, Md O., & Ahamed, S.I. Effect of an IPAD Application for Medical Imaging Procedure Preparation for Children with Autism Spectrum Disorder. The Fly-In Research Conference at Children's Hospital of Wisconsin. Milwaukee, Wisconsin, May 23-24, 2013.
  • Johnson, N., Kabobel, O., Lalley, E., Gani, Md O., & Ahamed, S. Medical Imaging Procedure Preparation for children with Autism with an IPad App Social Script. Building Bridges Conference, Milwaukee, Wisconsin, May 15, 2013.
  • Johnson, N., Kabobel, Gani, Md O., & Ahamed, S. IPAD Application for Imaging Preparation Compared to Regular Care: Two Case Studies of Children with Autism. Midwest Nursing Research Society Conference, Chicago, Illinois, March 7-10, 2013.
  • Oxygen Therapy in Mechanically Ventilated Patients in ICU

    The goal of this project is to determine whether a conservative oxygenation strategy is a feasible alternative to a liberal oxygenation strategy among ICU patients requiring invasive mechanical ventilation. We are investigating the causal relationship from the observational data of past ICU visits over 10 years. This project is part of our effort to develop methodologies for explainable Artificial Intelligence (AI) for clinical understanding. This is a colloborative project and I am working with Regenstrief Center for Healthcare Engineering, Purdue University and Northeast Georgia Health System.

    Simple and Complex Human Activity Recognition

    Despite being an active area of research for more than a decade, automated human activity recognition research has a long way to go to reach the level of accuracy and applicability to incorporate fully in our everyday life. Right now, researchers can only detect simple activities and a very small set of complex activities. But if we consider the enormous number of activities that humans perform then we need to rethink the approaches taken by the existing research. In one of my future research, I will work on the investigation of the atomic parameters in a big data environment that will help to identify a large set of human activities. This work will facilitate working on important research questions, development of the real-time data collection tool, data collection process, data pre-processing, data analysis, development of the mathematical model, analyzing results, and evaluation. Both undergraduate and graduate students will be able to work in this research study, from discussing research ideas to real-life implementation. They will be able to learn how to combine knowledges from multiple fields and produce a solution which is going to have an impact in our everyday life.

    Smart Spectacle Clip to Prevent Fall

    In this ongoing research, my goal is to design and develop a cheap Smart Spectacle Clip which can be clipped on spectacles. The device has an accelerometer sensor to recognize different activities (sitting, walking, taking stairs). The device is designed to be easily clipped with different types of spectacles. It will offer four modules: 1) recognize human activities from the accelerometer sensor, 2) automated warning to prevent fall, 3) sound notification to change glasses and 4) emergency notification if there is any fall. The smart clip will remind and warn the user to change the glasses suitable for the activities. The repeated reminder will help training the subject to wear right glasses for the activities. The real-time warnings will help to prevent the falls. Also, my goal is to make it cheap and portable. To my best of knowledge, this is the first smart spectacle clip to train and prevent fall.

    Bangla Text to Braille Translation System

    In this research, I have worked on the design and development of a translator to translate Bangla text to braille. Braille is a system, which is used by blind and partially sighted people for reading and writing. Unfortunately, because of the limitation of textbooks and other reading materials written in Bangla Braille, visually impaired persons in Bangladesh are far behind from education. This is indirectly widening the knowledge gap and disparity within the society. In order to bring a radical change in this scenario, an automated system for facilitating machine translation of Bangla text to readable Braille symbol is needed. In this research work, I have analyzed the necessary rules as well as grammatical conventions of Bangla braille. Based on the research and analysis, I have developed a computational model using the Deterministic Finite Automata (DFA), which later extended to an automated system for Bangla text to Braille translation. I have implemented the architecture using the open source technologies. I have tested the translator written in Unicode fonts. I have also tested the generated Braille is after printing in Braille printer with the help from the blind individuals. The test results show that the translator is able to translate with an accuracy of 100%. I have also published a Bangla braille book using this software [11].

    Courses Taught

  • Data Abstraction and Structures, Fall 2018, Spring 2018, Fall 2017
  • Introduction to Computer Science and Software Engineering, Fall 2018
  • Introduction to Programming, Fall 2017
  • Object-Oriendted Software Design, Spring 2016
  • Structured Proggramming Language, Fall 2011
  • Machine Learning, Spring 2011
  • Computer Interfacing, Fall 2010
  • Structured Proggramming Language, Fall 2010
  • News and Events

  • My work on “Bangla Text to Braille Translation System” have been covered by multiple daily newspaper including the most popular newspaper the Daily Prothom Alo. http://archive.prothom-alo.com/detail/date/2011-02-18/news/132025
  • Our team was invited for interview by NTV (one of the leading television channel in Bangladesh) for being champion in BASIS IT Innovation Search Programme, 2011 for the project “Bangla Text to Braille Translation System”.
  • Md Osman Gani


    Office Address:


    Computer Science and Software Engineering
    Miami University
    205Q Benton Hall
    510 East High Street
    Oxford, OH 45056

    Email: ganim@miamioh.edu
    Phone: 513-529-4283
    Web: www.osmanii.com