Data Computer Science

Mohammad Saber

*** * **** **, ***#***, Milwaukee, WI-53233. Phone: +*-***-***-****.********.*****@**.*** www.linkedin.com/in/mohammad-saber-5972a637

CARRIER HIGHLIGHT

Research Assistant, GasDay Lab, Dept. of EECE, Marquette University, USA (2014-2017)

Big data analysis Data visualization Data cleaning Mathematical models

Analytics Machine learning Optimization Uncertainty quantification

Teaching Assistant, Dept. of EECE, Marquette University, USA (2013-2016).

Learned how to explain difficult technical concepts to different group of people.

Faculty member (2005-2013), Dept. of Comp. Sc. & Eng. (CSE), Ahsanullah Univ. of Sc. & Tech. (AUST), Bangladesh.

Experienced leadership skills by organizing international conference (IEEE ICCIT 2010), national programming contest (AUST IUPC 2009), six intra-university programming contests, and a grand reunion of alumni (more than 1500 ex-students attended in this program).

Learned project management by supervised 10 undergraduate project groups (four students in each group).

Showed teamwork by serving as a member of question moderation team, cultural function organization team, journal publication committee, curricular improvement committee, (convocation) costume distribution committee.

EDUCATION

Doctorate – Electrical and Computer Engineering, August 2013 to December 2017 [GPA: 3.59/4.0] Marquette University, Milwaukee, Wisconsin, USA.

Master of Science – Computer Science and Engineering, October 2005 to October 2009 [GPA: 3.25/4.0] Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh.

Bachelor of Science – Computer Science and Engineering, May 2001 to May 2005 [GPA: 3.96/4.0] Ahsanullah University of Science and Technology (AUST), Dhaka, Bangladesh. [Class position: first] TECHNICAL SKILLS

Operating System: Windows, Linux/Unix, Android.

Programming Language: MATLAB, Java EE, C/C++, Assembly, Weka, Visual Basic, C#, PHP, HTML, SQL, PL-SQL, XML, UML.

Big data tool: Python, R, Hadoop, NoSQL.

Database: Oracle, MySQL, Access.

Application package: Microsoft Office, VISIO.

RESEARCH EXPERIENCE

Research Assistant, July 2014 to Present

GasDay Lab, Dept. of EECE, Marquette University, Milwaukee, WI, USA

Probabilistic forecasting in the energy domain: find forecast uncertainties from data analysis.

Probabilistic forecast evaluation techniques: measure the accuracy of quantified uncertainty.

Weather station optimization: find the best combination of weather stations from all weather stations.

Forecasting natural gas demand for electricity production: mathematical model to generate 7-day forecast.

Work with real and big data: data cleaning and processing.

Holiday effect in hourly energy demand: data analysis and visualization to find an effective solution. Research Assistant, January 2014 to June 2014

Computer Vision Lab, Dept. of EECE, Marquette University, Milwaukee, WI, USA.

Face detection, feature extraction: application of machine learning techniques.

Moving object tracking: application of machine learning techniques. AWARDS & HONORS

Full free tuition award scholarship (fall 2013 - spring 2017).

Three times summer fellowship (2014, 2015, and 2016).

Bangladesh-Sweden Trust Fund – Travel grant for traveling abroad from Bangladesh for higher study (2014).

Valedictorian and gold medalist for securing highest grade in undergraduate level (2009).

Six times full free tuition award winner for excellence in academic performance (2001-2005). RESEARCH PROJECTS

Effective evalution technique for probabilistic forecasts.

Forecast uncertainty quantification in energy domain.

Short-term electricity load forecasting using machine learning techniques.

An empirical analysis of gas consumption to generate electricity in US: Econometrics model to forecast natural gas consumption for electricity generation in US.

Scheduling of relay nodes in heterogeneous WSN environment: Proposed two different mathematical models to place relay nodes to maximize network lifetime. Simulated by C/C++.

Universal EPROM programmer: Circuit design and program using C/C++ to read/write data from different ROM ICs.

PROFESSIONAL & EDUCATIONAL PROJECTS

Filter design for different sound effect generation: MATLAB program which can generate 11 different sound effects.

Induction Motor Diagnosis: A signal processing algorithm is implemented using MATLAB to diagnose broken rotor bar fault in a squirrel-cage induction machine.

Develop a fuzzy inference system to simulate the camera tracking system: Used MATLAB to implement the camera tracking system.

FCM for clustering analysis of the wine data: Find out appropriate number of clusters from given wine data of unknown sources through data analysis in MATLAB.

Develop a supervised ANN architecture to solve XOR problem: Implemented using MATLAB NN toolbox.

Development of an ANN that predicts the S&P500 data: Implemented using MATLAB NN toolbox.

Analog and digital clock system: Shows time, two alarm setting option, stop watch, life time calendar with excellent GUI developed in C/C++.

Minesweeper: Replica of popular minesweeper game developed in Visual Basic using Access and Oracle database to store best player names.

Lab Management System: Keeps record on check out of all digital labs equipment of a university developed in Visual Basic and Access/Oracle.

Parts Management System: Works as an inventory system of the spare parts section of a well know car servicing center, Bangladesh developed in Oracle.

Private car expert system: Developed using the expertized of a leading automobile expert in Bangladesh which can diagnosis any private car and provide possible solutions. PUBLICATIONS

Mohammad Saber, “Quantifying forecast uncertainty in the energy domain”, PhD dissertation, Dept. of Electrical and Computer Engineering, Marquette University, 2017.

Mohammad Saber, Richard Povinelli, and George Corliss, “A graphical evaluation technique to assess probabilistic forecasts”, IEEE transaction on Smart Grid, in preparation, 2017.

Mohammad Saber, Richard Povinelli, and George Corliss, “Probabilistic forecast to solve a real problem in the natural gas industry”, in prerperation, 2017.

Jerome Z. Amedu, Masabho P. Milali, Mohammad Saber, Maggy Sikulu-Lord, “Probabilistic Mosquito Age Grading from Near Infrared Spectroscopy”, in preparation, 2017.

Mahmuda Naznin and Mohammad Saber, "Saving Relay Time in a Heterogeneous Wireless Sensor Network", IEEE Wireless Personal Multimedia Communications (WPMC), in progress, 2017.

Rosina Surovi Khan and Mohammad Saber, “Design of a Hospital –Based Database System (A Case Study of BIRDEM)” International Journal on Computer Science and Engineering (IJCSE), Vol-2, Issue-8, 2010.

Mohammad Saber and Golam Mostafa, “Low Cost Design of a Universal ROM Programmer”, The AUST Journal of Science & Technology, Vol-1, Issue-2, 2009.

NOTABLE EXTRA-CURRICULAR ACTIVITIES

Showed leadership skills by proposing possible improvement of graduate program in the dept. of EECE, Marquette University as a member of graduate student advisory board (GSAB) (2016-2017).

Secured a place in the top three in the Inter-AUST programming contest (2003, 2004).

Experience of leading a group of students as founder joint secretary of AUST Computer Club (ACC), Dept. of CSE, AUST (2003-2005).

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