MD Ahasan Habib
Assistant Professor, Mechanical and Mechatronics Engineering Tech
College of Engineering Technology
585-475-7362
Office Location
MD Ahasan Habib
Assistant Professor, Mechanical and Mechatronics Engineering Tech
College of Engineering Technology
Bio
Dr. Habib achieved his Bachelor's, Master's, and Doctoral degrees in the field of Industrial and Manufacturing Engineering. His research revolves around digital intelligent manufacturing, particularly focusing on Additive Manufacturing (AM). He has put forth numerous methods to enhance the efficiency of resource usage within the AM technique using his industrial and manufacturing background. His primary interest lies in the application of this manufacturing approach to bio-manufacturing. To achieve the advanced manufacturing systems capable of producing large-scale functional tissue scaffolds, he is investigating suitable biomaterials and related process parameters to ensure seamless coordination between interconnected manufacturing steps using mechatronics, robotics, and automation. Additionally, he is actively incorporating machine learning principles to identify optimal digital manufacturing parameters and materials.
Education
- Ph.D. in Industrial and Manufacturing Engineering (IME), North Dakota State University, USA.
- B.Sc. and M.Sc. in Industrial and Production Engineering (IPE), Bangladesh University of Engineering and Technology (BUET).
Select Scholarship
US Patent
- Khoda, Bashir, Nazmul Ahsan, Md Habib, and X. I. E. Ruinan. "Automatic metal wire bending (AMWB) apparatus to manufacture shape conforming lattice structure with continuum design for manufacturable topology." U.S. Patent 11,752,534, issued September 12, 2023.
Journal Articles
- Rohauer R., Schimmelpfennig K., Woods P., Sarah R., Habib A., Lewis C.L. 2026, Photo-crosslinkable hybrid hydrogels for high-fidelity direct-write 3D printing. J. Functional Biomaterials.
- O’Neil J, Villasmil LA, Woods P, Rohauer R, Habib A., 2026. Six-axis robotic extrusion of hybrid hydrogels for biomimetic airway model fabrication. J. Biomat App (Sage).
- Pervaiz S., Goyal K., Bae J.H., Habib A., 2026. Foundations for Future Prosthetics: Combining Rheology, 3D Printing, and Sensors. J. Manuf. Mater. Process.
- Limon, S.M., Sarah, R., & Habib, A., 2025. Integrating decision trees and clustering for bioink rheology optimization. J. Manuf. Sci. Eng.
- Sarah R., Schimmelpfennig K., Rohauer R., Lewis C.L., Limon S.M., Habib A., 2025. Machine learning–driven property prediction of hybrid hydrogel bioinks for extrusion-based 3D bioprinting. Gels.
- Sarah, R., Rohauer, R., Schimmelpfennig, K., Limon, S. M., Lewis, C. L., & Habib, A., 2025. Data-driven optimization of bioink formulations for extrusion-based bioprinting. J. Manuf. Sci. Eng.
- Xu Y., Sarah R., Habib A., Liu Y., Khoda B. 2024. Constraint-based Bayesian optimization of bioink precursor. Biofabrication.
- Habib, A., R. Sarah, S. Tuladhar, B. Khoda, S.M. Limon, 2024. Modulating rheological characteristics of bio-inks for enhanced bioprinted scaffold fidelity. Bioprinting.
- Quigley, C., Limon, S., Sarah, R., & Habib, M. A. 2023. Factorial Design of Experiment Method to Characterize Bioprinting Process Parameters to Obtain the Targeted Scaffold Porosity. J. of 3D Pri. & AM.
- Mankowsky,J., Quigley, C., Clark, S., & Habib, M. A. 2023. Identifying Suitable 3D Bio-Printed Scaffold Architectures to Incubate in a Perfusion Bioreactor: Simulation and Experimental Approaches. J. of Medical Devices.
Awards and recognitions
1. Research student received best poster talk award at Rochester Section Inc. of the American Chemical Society, 2025.
2. Finalist of the best Student Research Paper, IISE, 2022
3. Best track paper award, IISE, 2018.
4. NSF student travel award for SEM-NAMRC and SFF 2018.
5. Best poster paper awards (3rd) twice (2017 & 2018) at IEEE red river valley poster competition
Currently Teaching
MECA-461
Additive BioManufacturing
3 Credits
This course delves into the emerging field of Additive Biomanufacturing, with a specific focus on its application in tissue engineering. Students will gain knowledge and skills by employing CAD and reverse engineering tools to model and recreate digital files of complex, freeform tissue, or organs. Students will be introduced to the fundamental principles and techniques essential for designing and fabricating complex biological structures after modeling using three-dimensional (3D) bioprinting technology, principles of all kinds of bioprinting processes, characterization of hydrogel-based biomaterials in terms of rheological and mechanical properties, manufacturing process parameters and how material properties affect the cell mechanics after printing. The course will also address current challenges in the field and propose potential solutions to advance the recreation of engineered tissues.
RMET-585
Robots & Automation
3 Credits
This course focuses on the technology and application of robots and automation in the modern manufacturing environment. It will provide a thorough understanding of robotic hardware and software. The hardware aspects include robot configurations, drive mechanisms, power systems (hydraulic, pneumatic, and servo actuators), end-effectors and end-of-arm-tooling, sensors, control systems, machine vision, programming, safety, and integration. The software aspect deals with the various methods of textual and lead through programming commonly found on commercial robotic systems, as well as simulation systems offered by robot manufacturers. Digital Interfacing of robots with other automation components such as programmable logic controllers, computer-controlled machines, conveyors, is introduced. Robotic cell design and the socio-economic impact of robotics are also discussed. This course also has a strong experiential component that emphasizes hands-on training. This course may be cross-listed with RMET-685. Students may not take and receive credit for this course if they have already taken RMET-685. College-level programming experience in at least one computer language strongly recommended.
RMET-685
Robotics & Automation
3 Credits
Technology and application of robots and CNC in an integrated manufacturing environment is the focus of this course. An introductory understanding of robotic hardware and software will be provided. The hardware portion of this course involves robot configurations, drive mechanisms, power systems (hydraulic, pneumatic and servo actuators), end-effectors, sensors and control systems. The software portion of this course involves the various methods of textual and lead through programming. Digital interfacing of robots with components such as programmable logic controllers, computer-controlled machines, conveyors, and numerical control will be introduced. Robotic cell design and the socio-economic impact of robotics will also be discussed. This course also has a strong laboratory component that emphasizes hands-on training. This course may be cross listed with RMET-585. Students may not take and receive credit for this course if they have already taken RMET-585.
RMET-797
Capstone Project
3 Credits
This course provides the MMSI graduate students an opportunity to complete their degree requirements by addressing a practical real-world challenge using the knowledge and skills acquired throughout their studies. This course is not only the culmination of a student's course work but also an indicator of the student's ability to use diverse knowledge to provide a tangible solution to a problem. The capstone project topic can be in the areas of product development, manufacturing automation, management system, quality management or electronics packaging. The course requires a comprehensive project report and a final presentation.
RMET-798
Continuation of Capstone
0 Credits
Continuation of Capstone