Musa Ibne Mannan

Erik Jonsson School of Engineering and Computer Science, The University of Texas at Dallas

• Concentration in Manufacturing and Design Innovations. CGPA 3.62.
• Advisor: Prof. Juyoung Leem, Leem Research Group.

Ingram School of Engineering, Texas State University, San Marcos, TX

• CGPA 3.75. Advisor: Dr. Namwon Kim. Thesis: In-vitro detection of tRNA fragments (tRFs) using an inkjet-printed graphene electrochemical aptasensor.

Leem Research Group, The University of Texas at Dallas

• Designed, assembled from the ground up, troubleshot and operated high-vacuum CVD furnaces, a hydrogen generator, and integrated Raman spectroscopy instrumentation, then carried out process optimization on the resulting system.
• Led the complete laboratory build-out: procurement, equipment installation, safety compliance and inventory management, while running concurrent computational and experimental programs.
• Built Python data analysis pipelines and applied ensemble machine learning (Random Forest, XGBoost) to multi-parameter optimization of materials synthesis and mechanical system performance.

Ingram School of Engineering, Texas State University

• Developed inkjet-printed graphene electrochemical aptasensors for detection of tRNA-derived fragments, covering electrode optimization and electrochemical signal quantification.
• Investigated silane-treated ragweed fiber reinforced polylactic acid biocomposites, from fiber extraction and surface treatment through twin-screw extrusion, FDM printing, mechanical testing and thermal analysis.

The University of Texas at Dallas  ·  ECS 1100, Introduction to Engineering and Computer Science

• Instructor of record within a 300-student course, responsible for curriculum delivery, mentoring and assessment of an assigned section. Cumulative teaching load across UT Dallas and Texas State exceeds 850 students.
• Develop and deliver lectures on engineering fundamentals including mechanics and design.

The University of Texas at Dallas  ·  MECH 3350 Kinematics & Dynamics, MECH 2320 Mechanics of Materials

• Tutored 136 students in MECH 3350 and approximately 60 in MECH 2320, graded assignments and exams, delivered substitute lectures.
• Supported students on computational modeling, FEA and CAD troubleshooting.

Texas State University

• Mentored three senior design teams, 15 students in total, through industry-sponsored mechanical engineering capstone projects, with hands-on guidance in CAD, FEA, prototyping and mechanical system design.

• Motivating problem: WWII-era machine guns firing up to 1,200 rounds per minute suffered rapid heat build-up, accelerated barrel wear and overheating malfunctions, forcing frequent barrel changes.
• Calculated energy input, heat flux and firing pressure analytically, arriving at approximately 130.54 MPa.
• Ran transient heat transfer and stress analyses in Abaqus, with plasticity input derived by converting engineering stress-strain data to true stress and true strain.
• Compared AISI 4140, AK Steel 316L and ASTM A656 Grade 7. AISI 4140 showed the lowest maximum von Mises stress of the three; 316L and A656 were similar and slightly higher.
• Highest temperature gradients appeared near the breach and along the inner wall after 15 seconds of sustained fire, identifying the regions of most intense heat flux.

• Static structural analysis of a 10 m long, 1 m high cantilever beam under a 2,000 N shear load, using 4-node CPS4 and 8-node CPS8 elements for 2D plane stress and 8-node C3D8 bricks for 3D.
• Three mesh densities (coarse, medium, fine) benchmarked against the analytical solution. In 3D, maximum deflection error fell from approximately 84 percent to about 22 percent. In 2D, stress accuracy at the critical mid-span point improved from over 94 percent error to about 8.6 percent.
• Wrote independent MATLAB code using 2×2 Gauss quadrature for Q4 elements, extended to Q9, to solve the plane stress problem and verify the Abaqus results.
• Confirmed that 2×2 Gauss quadrature resolves stress distribution substantially better than single-point quadrature, which matters wherever stress gradients are steep.

• Designed a biomass shredder to improve fuel preparation efficiency for renewable energy systems, optimizing cutting geometry to a 68 degree cutting angle, 9 degree rake and 13 degree clearance.
• Integrated a dual-gear mechanism for torque control; finite element simulation confirmed safe operation up to 30 Nm for carbon steel components.
• Delivered orthographic drawings, blade profile detail, a 3D assembly with exploded view, and stress analysis validating structural integrity across the 25 to 30 Nm range.

• Machined a complex geometric part from a 2 in cube of RenShape polyurethane on a three-axis HAAS VF-3, with toolpaths generated in Mastercam using a 1/2 in flat endmill, a 1/16 in flat endmill and a 1/4 in chamfer mill.
• Design and toolpath generation took 4 hours 50 minutes; total machining time was 22 hours 40 minutes.
• First phase could not reach a section about 0.661 in from the bottom of the workpiece. Diagnosed the problem to the seventh machining step, recalibrated toolpaths and adjusted posting options, which resolved it.
• Used probe tool T31 for workpiece zeroing on X, Y and Z, and tool offset measurement for T2, T8 and T11. Final part showed smooth finish across upper, mid, bottom and curved surfaces.

• Investigated how visible light wavelength and intensity govern polymerization rate and depth in Stratasys TangoBlackPlus FLX980 photopolymer, using a digital projector source with a plano-convex focusing lens and mirror for direction control.
• Found wavelength, not intensity, to be the dominant factor: green light at 81,500 lux cured markedly slower than blue light at 28,300 lux.
• Blue light at 443 nm gave the best result, reaching 0.8 g cured weight and 0.6625 mm cured thickness after 30 minutes; red light at 607 nm was least effective at 0.3 g minimum cured weight.
• Established that curing times under 20 minutes produce inconsistent, partially cured material and are not usable for reliable measurement in this spectrum.

• Built a MATLAB optimization framework using multi-objective genetic algorithms over ERCOT residential energy usage data from 2002 to 2022.
• Balanced three competing objectives: minimizing cost, maximizing renewable energy share and reducing cancellation fees. The model converged after 101 generations.
• Supporting analysis included hourly consumption distributions, a correlation heatmap showing strong coupling between adjacent time intervals, and boxplots characterizing variability and outliers.

• Deposited large-area rGO thin films by pulsed laser deposition, then improved film quality with pulsed laser annealing.
• Structural characterization: Raman spectroscopy with a 532 nm laser to confirm D, G, 2D and D+G bands and evaluate I_D/I_G for defect density; XPS and XRD to estimate sp²/sp³ and carbon-to-oxygen ratios and track the two-theta peak shift confirming the extent of GO reduction.
• Film thickness measured by ellipsometry (Woollam M-2000). Carrier type and mobility determined by Hall measurement using the van der Pauw method with indium solder contacts.
• Resistance versus temperature measured on a PPMS DynaCool from 1.8 K to 300 K and modeled against Arrhenius and variable range hopping transport. With increasing mobility the behavior moved closer to the Mott VRH model without departing from Efros-Shklovskii VRH.

• Harvested giant ragweed and extracted fiber by chemical retting in 30 percent hydrogen peroxide followed by mechanical rolling, then ground it to powder.
• Treated fiber with GLYMO and AMEO silanes in isopropyl alcohol solution to reduce the hydrophilic character of the fiber and improve adhesion to the hydrophobic PLA matrix.
• Compounded filament on a Thermo Scientific Process 11 twin-screw extruder and printed tensile and flexural coupons by FDM, tuning parameters to prevent nozzle clogging.
• EDAX confirmed silicon on the fiber surface, validating the treatment. SEM showed continuous filament surfaces and dense cross-sections with no fiber pull-out or noticeable voids.
• GLYMO-treated composite averaged 54.24 MPa flexural strength, above the AMEO-treated material. Ultimate tensile strength averaged 19.65 MPa with 1.88 percent elongation, which is brittle; the shortfall was attributed to inconsistent fiber aspect ratio, varying from 2:1 to 8:1, and to crack initiation near the grips from the printed coupon design.
• TGA showed decomposition onset above 300 °C and complete disintegration near 492 °C. DSC gave a glass transition of 186 °C and a melting point of 361 °C for the composite filament.

Washillah Engineering Services (Partex Petro Ltd. and CUFL projects), Bangladesh

• Led on-site teams of 28 to 35 engineers and contractors on large-scale mechanical and piping work, covering a condensate refinery and a boiler re-tubing program, enforcing EHS and OSHA standards under tight schedules.
• Performed root-cause analysis on over 120 design and implementation errors in mechanical systems and structures, saving approximately 30,000 man-hours and $1M while holding quality and schedule.
• Coordinated cross-functional teams, client interfaces, material logistics and quality control in high-stakes field environments.

Augmedix

• Designed and piloted the first remote emergency room medical scribing program, building the training curriculum from scratch and implementing a real-time documentation workflow across multi-site teams. Featured in Business Insider.

Augmedix

• Delivered real-time clinical documentation for over 4,000 patients across multiple disciplines, working under timed, high-pressure conditions with a high accuracy requirement.

• Author of 26 published books across Bangladesh and India, written as Kishor Pasha Imon alongside full-time engineering and research work. Roughly 6,946 pages published between 2015 and 2024.