I’m Dr. Vinayak Majhi, an Assistant Professor at the Amity Innovation and Design Centre, Amity University, Noida, with a PhD in Biomedical Engineering and postgraduate training in Computer Science and Engineering.
My aim is to build connections beyond the lab: helping industry explore solutions, enabling academic teams to develop working prototypes, and creating opportunities for students and innovators to contribute to real challenges.
Find our common ground
I welcome partners with real problems to solve and ideas worth exploring. Together with the students, researchers and collaborators I work with, I can help connect research, hands-on engineering and practical product development.
I can help define the problem, assess feasibility and develop proof-of-concept systems across AI, robotics, embedded electronics, IoT and automation.
What you gainA clearer development roadmap, a demonstrable prototype and evidence to guide the next investment or pilot decision.
I welcome joint research, interdisciplinary projects, student mentoring and innovation-lab collaborations that turn research questions into testable systems.
What you gainHands-on engineering support, stronger project execution and opportunities for research outputs, demonstrations and industry engagement.
We welcome opportunities for technology demonstrations, practical workshops, startup mentoring and conversations about adapting existing innovations to new settings.
What you gainAccessible technical engagement, practical learning experiences and a starting point for longer-term innovation partnerships.
Industry consultancy and sponsored R&D, academic collaborations, partners for pilot evaluation, and institutional opportunities in research, teaching and innovation leadership.
Bring a use case, an early-stage idea or a research challenge. I can contribute problem framing, prototype development, technical mentoring and demonstration planning; the team and scope can be shaped around the expertise your project needs.
Start with the challenge, intended users and desired outcome. We can then agree on scope, team involvement, institutional permissions and confidentiality before sharing sensitive technical details.
His work combines technical mentoring, hands-on engineering, research and intellectual-property support, practical training, internship supervision, competition preparation and public demonstration.
Refines problems, evaluates feasibility, helps select hardware and software, supports circuit and system design, embedded programming, sensor and actuator integration, mechanical assembly, fabrication, testing, troubleshooting and technical documentation.
Present as end-to-end technical mentoring from idea to working demonstration. Credit student and faculty contributors by approved role.Supports novelty assessment, proof-of-concept development, experiment planning, performance evaluation, design refinement, technical descriptions and responses to technical issues associated with an invention.
Describe technical and prototype support only. Do not imply legal patent advice or guaranteed grant outcomes.Helps teams interpret problem statements, choose feasible approaches, build and test prototypes, prepare demonstrations and improve technical presentations. Also contributes to internal scrutiny and evaluation activities.
Use competition names, team roles and results only when certificates, organiser records and participant permissions are retained.Guides drone assembly, FPV systems, flight electronics, control, system integration, safe operation, testing and practical training, together with mobile robots, robotic control, sensors, motors and automation.
Show safe, supervised learning and feature-level outcomes. Keep detailed control, security and operational parameters private.Plans and conducts practical sessions in robotics, drones, embedded systems, electronics, sensors, automation, IoT, AI, prototype development, fabrication and system integration for different learner levels.
Publish the audience, learning objectives, duration and approved photographs; avoid unsupported learning-impact claims.Guides project selection, literature review, design, implementation, experimentation, testing, debugging and final presentation. Intended outputs may include prototypes, research papers, patent-oriented concepts, competition projects, product ideas and technical reports.
List only completed, consented outcomes and distinguish submitted work from accepted or granted outputs.Explains project principles, applications and public technical features during institutional visits, events and external demonstrations, while coaching students to present their work clearly.
Use approved event photographs and captions with dates, contributors, consent and the purpose of the demonstration.Helps convert theoretical research ideas into testable proofs of concept involving electronics, embedded systems, automation, robotics, AI integration and related technical implementation.
State the precise contribution and collaborators. Obtain written approval before naming an institution, client or external partner.Innovation Challenge, Technoxian World Cup 2024
IEEE ComPE 2020
IEEE ComPE 2021
Smart India Hackathon, Pentathon and student innovation programmes
A drone-focused venture working on affordable unmanned aerial vehicle design, drone education and hands-on training platforms. Its public story should focus on practical skill development and support for indigenous drone design and manufacturing.
Startup mentor. Confirm current operating status, founder attribution, logo permission and any outcome claims before launch.A hardware-focused venture offering custom electronics solutions, do-it-yourself learning kits, prototype-development support and 3D-printing services for educational and institutional users.
Startup mentor. Confirm current operating status, founder attribution, logo permission and the scope of services available publicly.A digital platform intended as a dedicated social ecosystem for writers, with tools for content creation, community participation and creator monetisation. Public wording should describe the available features without promising income or audience growth.
Startup mentor. Verify the official spelling, product status, founder attribution, privacy controls and any monetisation claims.An ongoing data-analytics and artificial-intelligence venture intended to support retail-site selection using geospatial information, footfall indicators and market intelligence.
Startup mentor; ongoing. Present as decision support and avoid claims of predictive accuracy until a dated validation report is available.An ongoing student venture developing a pocket laboratory system for learning electronics through gameplay and guided practical activities. The public story should emphasise accessible experimentation and student learning.
Startup mentor; ongoing. Confirm the final product name, learner age range, safety review and prototype status; do not present it as certified laboratory equipment.MIRA, a live drone flight and a drone rover bring AI-based product development onto the stage.
Read full storyA commemorative memento celebrates a creative contribution made during the PhD journey.
Read full storyReflecting on mentorship, student confidence and the space to experiment at AIDC.
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