Abdul Waheed Mohammed Email & Phone Number

Chennai, Tamil Nadu, India

Defined scalable and modular Information architecture for the cockpit applications.Created User journeys based on the target persona and branding guidelines.Defined HMI SOR for BEV systems having multiple displays, multi-OS and multi-modal capability.Ensured HMI technical sign-off with all partners - design studio, Tier-1 and Tier-2 suppliers.Review and approves UX flows and UX specs for all native and third party applications.Research and brainstorm the design trends, benchmark the competitors, evaluate trends for design feasibility through usability studies and Jury reviews.Created UX Trends Map for next generation Mahindra Electric Vehicles.Facilitate Jury reviews and track the feedback till the software implementation. Facilitate project management and supplier management with sprint planning, monitoring implementation, review and feedback for updates and revision.Leading the team of 6 members – mentoring and guiding for UX roles

Chengalpattu, Tamil Nadu, India

Developed intuitive user experience for both native and third party applications.Created scalable information architecture that catered to high, mid and low variants in both systems.Developed wireframes maintaining the consistency and homogeneity in the UX design.Developed UI & UX Specs, ensured adherence to Android Auto, Apple CarPlay and Alexa Guidelines.Developed the pop-up priority for both native, projection and third party applications.Facilitated 2D & 3D animation experience definition for boot-up animation, split-screen animation etc.Ensured text legibility on displays with different aspect ratio and resolution.Developed the Jury review process on mockups, prototypes, bench and in-vehicle level evaluation involving novice and experts.Ensured UX design quality by developing test cases for the interaction design which encompass the touch, buttons and voice interactions.Facilitated timely UI asset delivery and tracked the development for on-time delivery of HMI software for integration into the main software for weekly releases.Facilitated audio experience definition for chimes, popups, ringtones etc.Facilitated voice experience by defining microphone requirements and developing A2B audio architecture.Developed the distributed antenna systems for automotive Radio, GNSS and LTE antenna - defined electrical specifications, performed DFMEA, DVP, FTR and ensured high quality reception on-road.

Chennai, Tamil Nadu, India

Developed new theme by updating 200 screens in infotainment in 3months. Effectively managed the text translation for 7 languages ensuring no alteration in text box and font sizes.Developed new features - Arkamys Sound staging, Nuance Voice Recognition, TPMS, Navigation, 4-sector RPAS and RVC for infotainmentDeveloped new hardware update to the system by facilitating packaging of active antenna and active microphone.Developed Active Noise Cancellation System and achieved 6dB reduction in engine noise inside cabin.Defined Mic specifications, inputs to ANC algorithm from vehicle through CAN such as RPM, latency and noise reduction level. Tested the implementation on multiple road scenarios (tar road, gravel road, and concrete) at various RPM and different gearsEffective managed Tier-1 and Tier-2 suppliers and Cross functional team, monitor overall infotainment software development, testing and ensure on-time delivery of software to manufacturing plant.Mentored Graduate Trainee for System Engineer role.

Trento Area, Italy

Improved the speech recognition performance by 7% and 3.4% on small and medium vocabulary task in high reverberant environments.- Developed semi-blind acoustic model adaptation technique specifically tailored for reverberant environments.- Developed piece-wise energy decay model for modeling energy decay in non-diffuse environments.- Developed statistical models based reverberation time estimation technique.- Semi-blind acoustic model adaptation considerably improved the robustness of ASR. - In highly reverberant environments i.e. rooms having 900ms reverberation time, it provides 7% and 3.4% absolute improvements over the baselines on small and medium vocabulary task respectively.- Provided 3.5% absolute improvements over state-of-the-art adaptation technique.- Scalable to medium and large vocabulary recognition tasks.

Siemens Corporate Research, Munich, Germany

Task: Optimization on H.264 De-blocking FilterResult: Optimized H.264 video decoder by reducing the de-blocking filter execution time by 30%.- Developed a fast algorithm to overcome the bottlenecks in boundary selection and filtering modules resulting in rapid execution of de-block filter module. - Harnessed the power of SIMD SSE2 instructions from Intel instruction set and parallelized the operations to overcome the conditional branching problems in boundary selection and filtering modules.

Doctor Of Philosophy (Ph.D.), Information And Communication Technology

Activities and Societies: IEEE member

M.Sc, Electrical Engineering

Master Thesis at Siemens AG, Munich, Germany. Title: Optimization on H.264 Deblocking Filter

B.Tech, Electronics And Communication