Neeraj Gupta

Following my keen motivations for enhancing my professional carrier and developments in artificial intelligence and evolutionary computation research and its applications, I am hereby associated with the Dept. of Computer Science and Engineering, Oakland University (OU) that offered an opportunity to work along with teaching with an elite group of researchers from OU and international Institutes. The collaboration enabled me in realizing the computational power of evolutionary algorithms where we concentrate to solve various real-life problems by hybridizing with deep AI. We have designed an evolutionary algorithm named “Mendelian Evolutionary Theory Optimization”, and various neuro-evolution algorithms for developing AI for edge devices. Following the same, I am equally interested to establish and expand a new horizon of evolutionary deep AI at your department along with my dedicated teaching. I would be glad to discuss the same and follow up on your suggestions. Currently, I have developed a fully automated Deep Evolutionary Algorithm, a disruptive technology, which is under field test through Ford Motor Comp. and in the patent process. Recently, in association with Global Defense a division of MIS 2000 Inc, Nevada we demonstrated the “Intelligent data surgery” project to the DoD at TRL-4 and waiting for the fund. Getting a position at your department, I am willing to explore related multiple projects from DoD, NSF, NIH, etc. on the application on Computer vision, language processing, health care robotics, planning & decision making, big data analytics, smart grid etc. I would be grateful to explore my AI/ML and big data analytics research and its application in various fields at your institute at the tenure track position.

I hereby admit to being truthful with the Institute norms and regulations. I will do my best to come up with the original thoughts by citing others for their inspiration in nourishing my research and teaching work. Herewith, please find enclosed my Curriculum Vitae, Teaching and Research statement for your kind perusal and consideration. Please feel free to let me know if you require any additional material or information.

Ph. D. Electrical and Computer Engineering

• Six years of international teaching and research experience after Ph. D. including Teaching and Postdoc in Artificial Intelligence (AI), Deep Learning, Evolutionary Computation, Machine Intelligence, and its industrial applications.
• Student Evaluation is more than 4.2 out of 5.0 in Human Computer Interaction, Computer Networks, and Information Security Practice (Cybersecurity) subjects at Oakland University, Rochester, MI, USA.
• Developed “Fully-Automated Deep-Neuroevolution Technology” at TRL 6.0 and is under the patent process. It is under commercialization through Global Défense Electronics/ MIS 2000 Inc., Ford Motor Comp. is under the field test of technology. 
  • This technology develops highly optimized Deep-DAG-CNN AI models
    • Without any expert(s)
    • For any type of sensor data (Images, audio, vibration and etc.)
    • Provides highly optimized solution for edge/mobile integration without quantization and compression process.
  • Application Targets: Highly optimized and sustainable Deep AI Analytics for: edge computation, federated learning, stand-off biometric, cybersecurity, networks, electrical power system, vehicular technology, robotics, image processing, agriculture vehicles/systems, smart grid, and autonomous vehicles.
• On 13th July, in TechTuesday (SOFWERX) we demonstrated: “Intelligent Data Surgery for Artifact Removal from The Images Captured from UAVs To Enhance the Capability of Recognizers in Disrupted Environments” at Technology Readiness Level (TRL) 4.0, Waiting for the acceptance and funding.
• Trained through Oakland University to work in the diverse environment.
• Department Committee Member of Machine Intelligence and Robotics dept. at University of Information Science and Technology, Ohrid, Macedonia.
• More than 24 high impact factor international peer reviewed journal publications in multidisciplinary fields, including application of Evolutionary computation, Neuroevolution, Deep AI on Smart Grid, Networks, Vehicular technologies, Computer Vision, Health care and etc.
• Editor of Springer Books Series 
  • Frontiers in Nature Inspired Industrial Optimization
  • Frontier Applications of Nature Inspired Computation
  • Machine Learning for Predictive Analysis
• Reviewer of Int. Journals, including IEEE Transactions, Elsevier, Springer etc.
• Member of organizing committee of various international conferences.

Member of various international bodies such as IEEE.