Premier PhD R&D Institute · 9 Research Domains

PhD Research Work

Pioneering Research at the
Frontier of Technology

Maxinetec is a premier PhD Research & Development Institute advancing breakthroughs in Embedded Systems, AI, Autonomous Vehicles, Power Electronics, UAV, Biomedical Engineering, DSP and VLSI — transforming ideas into technologies that shape tomorrow.

200+
Research Publications
9
R&D Domains
50+
PhD Scholars
30+
Active Projects
Autonomous Vehicles Research
ROS2 Robotic Arm
Power Electronics Lab
Embedded Systems Artificial Intelligence Machine Learning Autonomous Vehicles Power Electronics UAV Systems Biomedical Engineering Digital Signal Processing VLSI Design ROS2 Robotics IEEE Publications FPGA Development Embedded Systems Artificial Intelligence Machine Learning Autonomous Vehicles Power Electronics UAV Systems Biomedical Engineering Digital Signal Processing VLSI Design ROS2 Robotics IEEE Publications FPGA Development
RESEARCH DOMAINS

PhD Services in Bangalore

9 Cutting-Edge Research Areas

Maxinetec conducts world-class PhD-level research across nine high-impact engineering and technology domains — from silicon-level VLSI design to autonomous system intelligence and life-saving biomedical innovations.

Embedded Systems

Real-time OS design, SoC architecture, FPGA-based embedded computing, firmware optimisation and hardware-software co-design for safety-critical and IoT applications.

RTOSFPGASoCIoTARM Cortex

Artificial Intelligence

Generative AI, large language models, knowledge graphs, explainable AI (XAI), federated learning and multi-agent systems for real-world decision-making applications.

LLMsXAIGenerative AIFederated

Machine Learning

Deep neural networks, reinforcement learning, graph neural networks, transfer learning, domain adaptation and edge ML deployment for resource-constrained devices.

Deep LearningRLGNNEdge ML

Autonomous Vehicles

LiDAR-camera sensor fusion, SLAM, path planning, vehicle perception stacks, V2X communication, functional safety (ISO 26262) and end-to-end autonomous driving pipelines.

SLAMLiDARV2XISO 26262

Power Electronics

High-efficiency DC-DC converters, multilevel inverters, EV battery management systems, wireless power transfer, smart grid integration and wide-bandgap semiconductor devices (GaN, SiC).

GaN / SiCEV BMSSmart GridWPT

UAV Systems

Multi-rotor drone design, flight controller hardware, GPS-denied navigation, swarm intelligence, UAV communication protocols, payload integration and defence-grade autonomous missions.

QuadrotorSwarmPX4GNSS-Denied

Biomedical Engineering

Wearable biosensors, AI-driven medical imaging, point-of-care diagnostics, neural signal processing, brain-computer interfaces and implantable device circuit design for clinical applications.

BCIBiosensorsMedical AIEEG/ECG

Digital Signal Processing

Adaptive filtering, spectral estimation, compressive sensing, audio/speech processing, radar signal processing, OFDM/5G-NR waveform design and real-time DSP on FPGA and TI DSPs.

Adaptive Filters5G-NROFDMRadar

VLSI Design

Analog IC design, digital ASIC flows (RTL to GDSII), low-power design techniques, FinFET modeling, neuromorphic circuits, hardware accelerators for AI and mixed-signal SoC integration.

Analog ICRTL→GDSIIFinFETNeuromorphic
200+
IEEE / Scopus Publications
50+
Active PhD Scholars
30+
Industry Collaborations
18+
Patents Filed / Granted
Signal Processing Research Lab at Maxinetec
2006
Established
ABOUT MAXINETEC

PhD Projects in Bangalore

Where PhD Research Meets Real-World Innovation

Maxinetec is a specialised PhD Research & Development Institute committed to producing world-class engineering researchers and breakthrough technologies. Our interdisciplinary research teams work at the convergence of hardware, software and intelligence — publishing in top-tier IEEE Transactions, Elsevier and Scopus Q1 journals while simultaneously building real-world prototypes and systems.

From silicon-level VLSI design to sky-level UAV autonomy, from neural signal biosensors to AI-driven autonomous vehicles — Maxinetec researchers tackle the hardest problems across nine technology domains with cutting-edge equipment, expert mentorship and strong industry linkages.

Research Excellence

IEEE & Scopus Q1/Q2 publication focus with structured review and mentorship

Industry Linkages

30+ active MoUs with semiconductor, defence and automotive companies

State-of-Art Labs

FPGA boards, EDA tools, oscilloscopes, signal generators and GPU clusters

Expert Mentors

PhD-qualified faculty with 15+ years industrial and academic experience

FEATURED RESEARCH

Current Research Highlights

A glimpse into our most impactful ongoing research projects across six of our nine active domains — from neuromorphic VLSI chips to AI-guided autonomous drones.

Autonomous Vehicles Research
Autonomous Vehicles · DSP

All-Weather Lidar-Radar Fusion for Level 4 AV

Developing a weather-robust sensor fusion pipeline combining LiDAR, mmWave radar and stereo camera for reliable Level 4 autonomous driving perception in Indian road conditions.

Learn more
Biomedical Research
Biomedical · ML

AI-Powered Wearable Cardiac Arrhythmia Monitor

A miniaturised wearable ECG patch with on-device deep learning for real-time arrhythmia classification achieving clinical-grade accuracy with 72-hour battery life.

Learn more
Power Electronics Research
Power Electronics · EV

GaN-Based 98.2% Efficiency Bidirectional DC-DC Converter

Ultra-high efficiency bidirectional DC-DC converter for EV on-board charging using GaN devices with adaptive dead-time control and active clamp circuits.

Learn more
Signal Processing Research
DSP · Embedded

Transformer-Based Radar Signal Classification

Real-time transformer model for classifying radar returns from autonomous vehicles in adverse weather, deployed on TI TDA4 SoC for deterministic sub-10ms inference.

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ROS2 Robotic Arm Research
Robotics · AI

Neuromorphic Edge AI Accelerator on FPGA

Spiking neural network hardware accelerator with sub-1mW power consumption for always-on edge AI inference in collaborative robotics and wearable health monitors.

Learn more
QGIS Geospatial Research
UAV · Geospatial

AI-Guided UAV Precision Agriculture Mapping

Federated deep reinforcement learning for multi-UAV cooperative path planning, terrain mapping with QGIS integration, and NDVI-based precision crop health analysis.

Learn more
ROS2 ROBOTICS LAB

Advanced Robotics with ROS2

Our ROS2-powered robotics lab is at the heart of Maxinetec's applied research. PhD scholars design, simulate and physically deploy 6-DOF robotic arms, mobile manipulators and swarm systems using ROS2 Humble on embedded controllers, integrating real-time computer vision, force-torque sensing and inverse kinematics solvers.

  • Gazebo + RViz2 Simulation: Virtual commissioning of robotic cells before physical build, drastically cutting prototyping cycles.
  • MoveIt2 Motion Planning: Obstacle-aware trajectory planning for pick-and-place, welding and surgical assistance applications.
  • Edge AI on Robot Controllers: YOLO-based object detection and pose estimation running on NVIDIA Jetson Orin at 60 FPS.
  • Human-Robot Collaboration: Compliant control with force-feedback for safe cobot operations in unstructured environments.
Join Robotics Research →
ROS2 Robot Arm Live Simulation at Maxinetec
LAB RESEARCH GALLERY

Research Across Domains, Visualised

Real images from Maxinetec research labs and project deployments across our active PhD domains.

Autonomous Vehicles
Autonomous Vehicles
Biomedical Engineering
Biomedical Eng.
Power Electronics
Power Electronics
Signal Processing
Signal Processing
ROS2 Robotic Arm
ROS2 Robotics
QGIS Mapping
UAV GIS Mapping
PUBLICATIONS

Recent Research Publications

Selected recent publications from Maxinetec PhD researchers — published in IEEE Transactions, Elsevier and Scopus Q1/Q2 indexed journals across all nine research domains.

2026

GaN-Based 98.2% Efficiency Bidirectional DC-DC Converter for EV On-Board Charging with Adaptive Dead-Time Control

Authors: R. Krishnan, S. Mehta, A. Patel — Power Electronics Domain

IEEE Transactions on Power Electronics · IF 6.7 · DOI: 10.1109/TPEL.2026.xxxxxx
2025

Federated Deep Reinforcement Learning for Multi-UAV Cooperative Path Planning in GPS-Denied Environments

Authors: P. Sharma, V. Nair, K. Rajan — UAV · AI Domain

IEEE Transactions on Intelligent Transportation Systems · IF 8.5
2025

A 0.4V 12-bit SAR ADC in 28nm CMOS with Dynamic Comparator Offset Calibration for Biomedical SoC

Authors: M. Suresh, L. Bhat, T. Rao — VLSI (Analog) · Biomedical Domain

IEEE Journal of Solid-State Circuits · IF 5.4
2025

Transformer-Based Radar Signal Classification for Autonomous Vehicle Obstacle Detection in Adverse Weather

Authors: N. Gupta, B. Menon — DSP · Autonomous Vehicles Domain

IEEE Transactions on Vehicular Technology · IF 6.8
2024

Low-Power Real-Time EEG-Based Motor Imagery Classification Using Spiking Neural Networks on FPGA

Authors: D. Iyer, C. Reddy, F. Shah — Embedded Systems · Biomedical Domain

IEEE Transactions on Biomedical Engineering · IF 4.6
WHY MAXINETEC

Why Researchers Choose Maxinetec

Join a community of driven PhD scholars, experienced mentors and industry partners working on problems that matter. Here is what makes Maxinetec the right place for your research journey.

01

Scopus & IEEE Publication Pipeline

Structured manuscript development process with expert review — targeting IEEE Transactions and Scopus Q1/Q2 journals aligned with your domain from day one.

02

Cutting-Edge Lab Infrastructure

Access to FPGA development boards (Xilinx, Intel), oscilloscopes, spectrum analysers, GPU clusters (RTX 4090), EDA tool suites and specialised biomedical instrumentation.

03

Industry-Grade Project Experience

Work on live industry-sponsored R&D projects from automotive OEMs, semiconductor companies, defence PSUs and healthcare device manufacturers alongside your PhD research.

04

Patent Support & Technology Transfer

Dedicated IP cell for patent filing, prior art search, claims drafting and technology commercialisation — 18+ patents filed by Maxinetec researchers across all nine domains.

05

Stipend & Fellowship Support

Research stipend for full-time PhD scholars; assistance with SERB, DST, DRDO and CSIR fellowship applications for government-funded research positions.

06

Global Collaboration Network

Joint research programs with universities in USA, Germany, Singapore and Japan; opportunities for international conference presentations and short-term research visits.

OUR TEAM

Research Leadership

Maxinetec's research is led by PhD-qualified faculty with deep domain expertise and extensive publication and industry experience across all nine research areas.

RK

Dr. R. Krishnan

Director & Chief Researcher
Power Electronics · VLSI · 120+ IEEE papers · 22 years experience
PS

Dr. P. Sharma

Head — AI & Autonomous Systems
Deep Learning · AV Perception · SLAM · 60+ publications
DI

Dr. D. Iyer

Head — Embedded & DSP
FPGA · RTOS · Signal Processing · 45+ publications
MS

Dr. M. Suresh

Head — Biomedical & VLSI
Analog IC · Biosensors · BCI · 55+ publications
VN

Dr. V. Nair

Head — UAV Systems
Drone Design · Swarm AI · Flight Control · 38+ publications
LB

Dr. L. Bhat

Head — Machine Learning
GNN · Federated Learning · Edge AI · 42+ publications

Start Your Research Journey at Maxinetec

Whether you are a fresh graduate seeking PhD admission, an industry professional looking for collaborative R&D, or a university seeking joint research programs — we would love to hear from you. Maxinetec welcomes researchers from all engineering backgrounds across our nine specialised domains.

AddressMaxinetec R&D Institute, Bangalore, Karnataka, India
Phone+91 95919 12372
Emailresearch@maxinetec.com
Research DomainsEmbedded · AI · ML · AV · Power Electronics · UAV · Biomedical · DSP · VLSI

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