Gregory Ditzler Email & Phone Number

Philadelphia, PA, US

Philadelphia, Pennsylvania, United States

★ Developed robust AI/ML solutions for detection, tracking and characterization of complex radar emitters. The ML and data analysis software was developed in Python (Torch, Lightning, Pandas, etc.). Collaborated with radar experts to integrate domain knowledge into the systems and worked on the transition from simulation to real-world.

Philadelphia, Pennsylvania, United States

Glassboro, New Jersey, United States

★ Co-Director of the Machine and Artificial Intelligence and Virtual Reality Center (MAVRC). Responsibilities include securing external research funding, hiring graduate students, and mentoring members on ML.★ ML co-Lead on a $3M Army Research Office Award that focuses on integrating ML with virtual reality. My team is developing deep learning models for.

Tucson, AZ

★ Developed an externally funded research with collaborations in the University. I have received funding support from the AFRL, ARO, ONR, NSF and DOE. ★ 2020 NSF CAREER Award ★ 2020 NSF REU Site Grant (https://bit.ly/3mwvNap)★ Developed a course in machine learning that has received a high enrollment each semester the course as been offered. I have also.

Greater Philadelphia Area

★ I was a teaching assistant for signals and systems, bioinformatics, digital signal processing, and linear systems. I occasionally prepared and delivered lectures in a couple of these courses. ★ My research was on machine learning with applications to metagenomic data analysis. I won the best student paper at the IEEE World Congress on Computational.

★ Mentored juniors and seniors on research projects in core areas of machine learning as well as applications of machine learning for metagenomic data. Some of the work related to these projects was published in IEEE journals and conferences. ★ Taught a course on electrical circuit analysis.

★ As a GRA, I performed research in machine learning. My focus was primarily on learning in changing environments with imbalanced data. ★ My research resulted in seven peer-reviewed conference papers and one journal manuscript. ★ I was selected as the only graduate student to receive Rowan University's research achievement award in 2011.

Shannon Labs

★ I worked in a language modeling group under the supervision of Diamantino Caserio. My research focused on improving the current language model at AT&T with recurrent neural networks (RNNs). ★ Developed code in Python to implement the RNN language model. ★ Leveraged GPUs and cluster computing to learn the RNNs.

★ Worked with management and engineers to develop proposals for SBIR/STTR contracts. Several of these proposals were eventually funded. ★ Developed solutions for products in Class-D amplifiers. ★ Programmed microcontrollers in C and FPGAs in Verilog HDL.

Doctor Of Philosophy (Ph.D.), Electrical & Computer Engineering

Activities and Societies: IEEE, ACM, SIAM, Vice President of the Drexel IEEE Graduate Forum

Master'S Degree, Electrical & Computer Engineering

Activities and Societies: IEEE

Bet, Electronics Engineering Technology

Activities and Societies: IEEEMinor in mathematics