Gjergj has an MBA with a specialization in finance. He has been involved in the blockchain space for several years. He has served as an accredited investor for many innovative crypto currency projects. He believes that technology is the best way forward. The fourth industrial revolution is coming, and he wants to be a part of it. 

Dr. Damacharla is a talented electrical engineer looking to make his vision of the future a reality - by creating it. Praveen specializes in human machine teaming, machine learning, and technology development. His work has been pivotal in the acquisition of numerous grants. He has co-published 3 journal papers and several conference papers.

Dr. Elkin is a talented researcher and engineer. He has been a substantial contributor to teams that have received funding from AFRL, DAGSI, and NSF. Colin’s research specialties and interests include: data science, artificial intelligence, big data, and simulation modeling.

Dr. Ringenberg is a Computer Science Professor at the University of Findlay in Findlay, Ohio. He has worked on a plethora of independent projects; most recently, he was the CTO and one-man engineering team of di8it Charts, a data visualization startup acquired in under 1.5 years! In addition to his independent endeavors, Dr. Ringenberg was the Directory of Technology for the Wander Media Company. His skill set includes Image Processing, Computer Vision, and Algorithm Development. 

Bharath has provided solutions and designed business critical applications for ABN AMRO Bank in the SEPA Program. These solutions were related to online payments, iDEAL payment system, and internet/intranet security for retail and private banking.

Somtoo is an experienced ML/Software engineer. He has worked on autonomous navigation, chatbots, NLP, and other AI enhanced areas. Somtoo is a true team player that is looking to use his skills, in conjunction with the KineticAI team, to develop great products and enhance his abilities. 

Dr. Junuthula is an experienced researcher in social network analysis and machine learning models. Skilled in MathematicalModeling, Matlab, Data Science, R, C++, Mathematics, and Java. Strong education professional with a doctor of Philosophy (Ph.D.) focused on Computer Science from the University of Toledo.

Koganti graduated with a master degree in electrical engineering with a focus on advanced power electronics & energy, power systems. He has gained 3 - 4 years of professional & research experience in power supply design, GaN device applications, DC-DC power converter, DC-AC inverter and electric drive controls (Direct Torque Control (DTC), Field Oriented Control (FOC)), transformer operations, and power system stability studies. He is proficient in MATLAB, Simulink, Saber, PSpice, Eagle, VHDL, and artificial neural networks.

Dr. Prakash Ranganathan is currently an Assistant Professor of Electrical Engineering, and also the Director for Data Energy Cyber and Systems (DECS) Laboratory at the University of North Dakota (UND).  His research activities involve identifying solution to challenges on topics in smart grids, cyber security, data science, uncertainty quantification in renewable energy.

Dr. Javaid is passionate about cyber security. His research interests include: Drone (UAV) and Android forensics and cybersecurity, simulation, modeling, analysis, and mitigation of cyber-attacks, deep-learning and pattern analysis based cyber attack detection, and human-machine teaming/cooperation. His experience includes, establishing and managing a data center, supervising operations in systems management and software development in a government setting, and 2+ years of experience in Systems operations management and consulting.

Dr. Yang received her Ph.D. in Electrical Engineering from China's University of Mining and Technology, her M.A.Sc. in Applied Science in Systems and Computer Engineering from Carleton University, Canada, and both of her M.S. (Mining Engineering) and B.S. (Electronics and Information Engineering) from Taiyuan University of Technology, China. Yang is a member of the Institute of Electrical and Electronics Engineers (IEEE). Her main areas of research focus on virtual reality, visualization, and software engineering.

Dr. Tan received his Ph.D. and M.S. degrees from the University of New Mexico in Electrical Engineering. He is currently Professor in ECE Department at Purdue University Northwest and the Associate Editor for the International Journal of Engineering Research & Innovation (IJERI) and the International Journal of Modern Engineering (IJME), and a senior member of IEEE. Currently, his research interests are in the areas of digital signal processing; adaptive signal processing; and control systems and digital communications.