Elevator Pitch

Important things to include/layout:
- name: Razie Hyria
- grade: Undergrad
- major: Computer Engineering
- What drew me to this professor
- acura connection to their work
- rq


Draft of what i might say: ( THIS IS ROUGH. I WOULD FINESSE IN THE MOMENT)

professor Honavar! 

we have something in common you are an engineer, and i'm an engineer in the making. my name is razie hyria, and im currently an undergraduate computer engineering major. before i came to penn state i had made a plan to get my undergrads in C.E and pursue a masters in artificial intelligence! i actually even encountered some of your work, like your published book on Artificial Intelligence and Neural Networks: Steps Toward Principled Integration., when i researched professors who worked with artificial intelligence for my acura. Speaking of, its currently in the works. my research question is [inset RQ HERE]. and a lot of your long term research interests aline with what i plan to pursue/ study. If you'd have me, i'd love to work under you in researching this fascinating topic. 

thankyou! here's my card

enjoy the rest of your day!

IMPORTANT TO REMEMBER:
* dont just talk at him, take pauses, let him respond
* judge his responses to set the pace of your pitch
* SMILE. HAND NOTIANS. HEAD MOVEMENTS. INTERACT
* shake his hand and be formal

PB2B

Part1 journals:

1.Parekh, R., J. Yang, and V. Honavar. "Constructive Neural-Network Learning Algorithms for Pattern Classification." IEEE Transactions on Neural Networks, vol. 11, no. 2, 2000, pp. 436-451.

2.Marks, Stefan. "Immersive Visualisation of 3-Dimensional Spiking Neural Networks." Evolving Systems, vol. 8, no. 3, 2017, pp. 193-201.

Part 2: 

Article 1 Is older and written by the professor i aim to study under. it focuses more on neural-networks and studying patterns through algorithms. they're called "learning algorithms" and are used for mapping and are supposed to demonstrate how well they're able to classify patterns with close to zero error rate. Article 2 is more recent and thus features much newer information not mentioned in the previous article and its about using/improving 3-D games based off of neural-networking. both are aspects of artificial intelligence. its funny, because the information gathered in article 1 is the cold, hard, math behind neural networking with different formulas and not so much geared to using it in devices but more so improving the algorithms and having a better idea of the algorithms & data itself within networks, this data can most likely be found in the products/ reasoning within article 2. Article 2 is geared more towards a game and virtual reality, sorta like the oculus rift, and how to improve that game and aspects of it.
The question article 1 posed was whether or not constructive algorithms are a good option for neural networks and their success rate. when studying this question, since it was hard math they actually put these algorithms through tests and provided many examples and charts to analyze and model how successful they were or were not,  then drawing a conclusion based off of those calculations. Article 2 questioned the capabilities and performance of a gaming system in 2-D when technology has progressed significantly, which brought on more challenges when using a device to visualize a 3-D Neural network. article 2 argues that the device, NeoCube when paired with NeuVis, gives the best and most optimal performance platform when exploring, and analyzing larger scale neural networks.

Part 3:

Article 1: focuses on the brain and learning of an artificial intelligence program through algorithms.

• affordances: gives you the actua math behind such data and technology, a particular region
• constraint: math isn't tangible to someone outside of field, and limited. 

Article 2: focuses on a gaming system and analyzing neural networks through 3-D Modeling

• affordances: more recent technology and indulging article, easier to read
• constraints: technology is not for purchase, not perfected, 

both:

• conventions/rhetoric: proofs, formatting, brain images, jargon, technology, math
• author's purpose: to delve into this specific and booming aspect of artificial intelligence in computer engineering and gather more data.
• writing style: persuasive/ explanatory/ promotional
• audience: computer engineering, computer scientists... etc
• because they are both littered with jargon, and mathematic equations + imagery that's intangible to somebody outside the majors. 
• organizational: it is very structured, and starts off with what they plan to do, and both in a way begin to describe some terms, or where they got started. and i think that makes sense to follow a similar structure, the way they did, because if a different audience is reading this, they can have a chance at understanding what is being said.

WP2 Rubric & Elevator Pitches

Rubric:
1.

	exceeds	Meets expectations	Does not meet
Structure/ format Table of contents, mla, work cited, etc Visibly appealing
Length 3-7 minutes
Connection to genre AND discipline Follows rubric Relates to engineering Found professor AT penn state course vocabulary jargon
Argument… What are you saying? What does it mean What’s the point
Elevator pitch length 90 seconds
Elevator pitch successful Kept the audience engaged Explained their point in an understandable way
additional notes/comments

2. elevator pitch- hey you kiddos, this will get you an awesome elevator pitch

strengths- detail oriented, very specific, explanations lead by examples and a good exmaple was her emphasis on body language
weakness- lengthier video, not straight to the point

strengths- shorter video
weakness- i did not like his approach, his example, not enough examples, 

strengths- ok length, helps you create one, defines good and bad examples, very thorough 

pb2a 3-5

Part 3

the effectiveness, and benefits, of integrating artificial intelligence into vehicles?

using artificial intelligence in video games like oculus rift?

advancing the technology and expanding the uses of an oculus rift?


part 4

Computer Engineering
hacking
Design
Robotics
3D Modeling
Artificial intelligence

motion sickness

usa

self driving cars

part 5

Ajoudani, Arash, et al. "Progress and Prospects of the human–robot Collaboration." Autonomous Robots, vol. 42, no. 5, 2018, pp. 957-975.

Bringsjord, Selmer, and Atriya Sen. "On Creative Self-Driving Cars: Hire the Computational Logicians, Fast." Applied Artificial Intelligence, vol. 30, no. 8, 2016, pp. 758-786.

Henshall, Gareth I., William J. Teahan, and Llyr A. Cenydd. "Virtual reality’s Effect on Parameter Optimisation for Crowd-Sourced Procedural Animation." The Visual Computer, vol. 34, no. 9, 2018, pp. 1255-1268.

Marks, Stefan. "Immersive Visualisation of 3-Dimensional Spiking Neural Networks." Evolving Systems, vol. 8, no. 3, 2017, pp. 193-201.

Richert, Anja, et al. "Anthropomorphism in Social Robotics: Empirical Results on human–robot Interaction in Hybrid Production Workplaces." Ai & Society, vol. 33, no. 3, 2018, pp. 413-424.

PB2A1+2- Comp Engineering

hey y'all

part 1:
i'm currently a computer engineering major. aspects of computer engineering include:
hardware and software engineering. Hardware engineers focus their skills on computer systems and components, designing microprocessors, circuit boards, routers and other embedded devices

Professor Vasant Honavar studies:
long-term research interests span artificial intelligence (especially machine learning, causal inference, knowledge representation), computer science, data sciences, cognitive and brain sciences, and applied informatics (especially bioinformatics, health informatics). His research is driven by fundamental scientific questions or important practical problems in areas of societal or national priority

part 2:
Although my main goal is to pursue artificial intelligence in masters but a close second was to pursue hacking, or learn it as a minor. I was always intrigued by it, and you can get an undergrad in computer engineering. And then pursue it as a masters or get a phd. i like hacking and cyber security because in involves and shares aspects of my intended major and it helps me narrow down to something specific within in that major. also, imagine the bragging rights from claiming i'm a hacker? yeah thats that.

i could learn how to hack, different types of hacking, how hacking and computer engineering are intertwined, the career fields that span from hacking and the importance of hacking within large business.