Teacher Overview

𝐌𝐝. 𝐈𝐪𝐫𝐚𝐦𝐮𝐥 𝐇𝐚𝐪 is currently an 𝐀𝐬𝐬𝐢𝐬𝐭𝐚𝐧𝐭 𝐏𝐫𝐨𝐟𝐞𝐬𝐬𝐨𝐫 (Deputation) in the Department of Agricultural Statistics, under the Faculty of Agribusiness Management at 𝐒𝐡𝐞𝐫-𝐞-𝐁𝐚𝐧𝐠𝐥𝐚 𝐀𝐠𝐫𝐢𝐜𝐮𝐥𝐭𝐮𝐫𝐚𝐥 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲, Dhaka, Bangladesh. Currently, he is pursuing his 𝐏𝐡𝐃 at the 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐨𝐟 𝐂𝐚𝐥𝐠𝐚𝐫𝐲 in Alberta, 𝐂𝐚𝐧𝐚𝐝𝐚. Mr. Haq has recently been appointed as an 𝐄𝐝𝐢𝐭𝐨𝐫𝐢𝐚𝐥 𝐁𝐨𝐚𝐫𝐝 𝐌𝐞𝐦𝐛𝐞𝐫 of 𝐁𝐌𝐂 𝐖𝐨𝐦𝐞𝐧'𝐬 𝐇𝐞𝐚𝐥𝐭𝐡 (published by 𝐒𝐩𝐫𝐢𝐧𝐠𝐞𝐫 𝐍𝐚𝐭𝐮𝐫𝐞, 𝐐1, 𝐈𝐅-2.4) and is now a registered member of the 𝐁𝐌𝐂 𝐒𝐞𝐫𝐢𝐞𝐬 𝐄𝐝𝐢𝐭𝐨𝐫𝐢𝐚𝐥 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲. He earned his Bachelor of Science in Statistics (Honours) and Master of Science in Statistics (Thesis Group) from Jagannath University, Dhaka securing 𝐬𝐞𝐜𝐨𝐧𝐝 𝐩𝐨𝐬𝐢𝐭𝐢𝐨𝐧 in the 𝐅𝐢𝐫𝐬𝐭 𝐜𝐥𝐚𝐬𝐬 in both programs in 𝐨𝐫𝐝𝐞𝐫 𝐨𝐟 𝐦𝐞𝐫𝐢𝐭 in his department. He achieved CGPAs of 𝟑.𝟖𝟒 and 𝟑.𝟗𝟕 (𝐨𝐮𝐭 𝐨𝐟 𝟒) in his B.Sc. and M.Sc. (Thesis Group), respectively. He has the experience and expertise to work with several national and international organizations, such as FAO, IMED, the Ministry of Science and Technology, UGC, NIPORT, and many more. Additionally, Mr. Haq was serving as a Data Processing Assistant at MRB Bangladesh Pvt. Limited. He was also a part-time research assistant at Gano Unnayan Shantha. Moreover, he was recruited as a guest lecturer of the Bangladesh Medical Research Council (BMRC) and resource person at the BBS. He is currently a trainee member of CAN-AMR-Net in Canada. Mr. Haq has published over 𝐅𝐨𝐫𝐭𝐲 (𝟒𝟎) research papers in national and international peer-reviewed journals. Among them, nearly 𝟐𝟎 papers were published in 𝐐𝟏-ranked journals, with 𝟑𝟒 papers indexed in 𝐒𝐜𝐨𝐩𝐮𝐬 (h-index: 𝟖) and 𝟑𝟐 papers indexed in 𝐖𝐞𝐛 𝐨𝐟 𝐒𝐜𝐢𝐞𝐧𝐜𝐞. Besides articles, he took part as a paper presenter at 𝐄𝐢𝐠𝐡𝐭 (𝟎𝟖) national and international conferences. Moreover, he is an editor and reviewer of some peer-reviewed international journals. He is also a trainer at 𝐑-𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠, 𝐏𝐲𝐭𝐡𝐨𝐧, 𝐒𝐏𝐒𝐒, 𝐒𝐭𝐚𝐭𝐚, 𝐚𝐧𝐝 𝐎𝐩𝐞𝐧𝐁𝐔𝐆𝐒 and has over 𝐭𝐞𝐧 (𝟏𝟎) years of expertise as a Statistical Analyst. He is adept at machine learning algorithms, deep learning, statistical modeling, multivariate analysis, handling large-scale complex datasets, categorical data analysis, experimental design, factor analysis, and Bayesian analysis. 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐈𝐧𝐭𝐞𝐫𝐞𝐬𝐭: 𝐀𝐧𝐭𝐢𝐦𝐢𝐜𝐫𝐨𝐛𝐢𝐚𝐥 𝐑𝐞𝐬𝐢𝐬𝐭𝐚𝐧𝐜𝐞 (𝐀𝐌𝐑); 𝐎𝐧𝐞 𝐇𝐞𝐚𝐥𝐭𝐡; 𝐀𝐧𝐢𝐦𝐚𝐥 𝐡𝐞𝐚𝐥𝐭𝐡; 𝐏𝐮𝐛𝐥𝐢𝐜 𝐡𝐞𝐚𝐥𝐭𝐡 ; 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 (𝐌𝐋) 𝐀𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐬; 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 (𝐃𝐋); 𝐁𝐢𝐠 𝐃𝐚𝐭𝐚; 𝐁𝐚𝐲𝐞𝐬𝐢𝐚𝐧 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬; 𝐁𝐢𝐨𝐢𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐜𝐬; 𝐁𝐢𝐨𝐬𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐬; 𝐃𝐞𝐦𝐨𝐠𝐫𝐚𝐩𝐡𝐲; 𝐇𝐞𝐚𝐥𝐭𝐡 𝐄𝐜𝐨𝐧𝐨𝐦𝐢𝐜𝐬; 𝐌𝐞𝐧𝐭𝐚𝐥 𝐇𝐞𝐚𝐥𝐭𝐡; 𝐄𝐜𝐨𝐧𝐨𝐦𝐞𝐭𝐫𝐢𝐜𝐬; 𝐈𝐧𝐞𝐪𝐮𝐚𝐥𝐢𝐭𝐲 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬; 𝐀𝐠𝐫𝐢𝐜𝐮𝐥𝐭𝐮𝐫𝐚𝐥 𝐒𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐬; 𝐒𝐨𝐜𝐢𝐚𝐥 𝐬𝐜𝐢𝐞𝐧𝐜𝐞