Connect with IEN

As part of IEN’s mission to develop and cultivate the next generation of technologists, our team hosts numerous professional development lectures and short courses. Course and lecture topics include cleanroom fabrication techniques, advanced lithography techniques, market sector applications of nanotechnology research, and seminars on nanotechnology as it relates to other fields of engineering. These events are open to both GA Tech and other institutions’ researchers and educators, as well as to those in industry and the interested public.

 

All events are listed in chronological order, please scroll down to find and register for the event for which you are interested.


Wednesday June 6th | 9:00AM - 12:00PM | Marcus Nanotechnology Inorganic Cleanroom | Marcus Nanotechnology Building Level 1

Institute for Electronics and Nanotechnology: Cleanroom Open House

IEN provides cross-discipline support for nanoscale lithography, fabrication, synthesis, characterization, modeling, design, computation, and hands-on training via our shared user cleanroom environments. This event is designed to give current and potential users the opportunity to tour the cleanrooms, observe tool demonstrations, and hold processing and fabrication methods consultations with our expert staff, free of charge. Additionally, IEN staff will offer technical consultation to attendees who register in advance.

Schedule

  • 9:00 – 9:30 Registration and gowning
  • 9:30 – 10:00 Inorganic cleanroom tour
  • 10:00 – 10:45 Maskless photolithography process demo (Inorganic cleanroom)
  • 10:45 – 11:30 Inorganic cleanroom metrology techniques demo (SEM, profilometry, Ellipsometry)
  • 11:30 – 12:00 Inorganic cleanroom tour (make-up)

 

Register at: https://tinyurl.com/y7lk688t

 

 


Friday June 8th | 2:00PM - 3:00PM | Institute for Bioengineering and Bioscience (IBB) | Room 1128

Managing the Complexity of Molecules: Letting Matter Compute Itself
Gregory Kovacs, M.D., Ph.D. (EE); Chief Technology Officer, SRI International; Professor Emeritus, Stanford University

Abstract: Person-millenia are spent each year seeking useful molecules for medicine, food, agriculture and other uses. For biomolecules, the near infinite universe of possibilities is staggering and humbling. As an example, antibodies, which make up the majority of the top-grossing medicines today, are comprised of 1,100 amino acids chosen from the twenty used by living things. The binding part (variable region) that allows the antibody to bind and recognize pathogens, is about 110 amino acids, giving rise to 10143 possible combinations. There are only about 1080atoms in the universe, illustrating the intractability of exploring the entire space of possibility. This is just one example…

Presently, machine learning (ML), artificial intelligence (AI), quantum computing, and “big data” are often put forth as the solutions to all problems, particularly by pontificating TED presenters’ pitches dripping with hyperbole. Expecting these methods to provide intelligent de novo prediction of molecular structure and function within our lifetimes is utter rubbish. For example, a neural network trained on daily weather patterns in Palo Alto cannot develop an internal model for global weather. In a similar way, finite and reasonable molecular training sets will not magically cause a generalizable model of molecular quantum mechanics to arise within a neural network, no matter how many layers it is endowed with. Regardless of the algorithms chosen, one simply cannot yet ask a computer to “compute” a drug that cures HIV.

With that provocative preface, we turn to the notion of letting matter compute itself. Massive combinatorial libraries can now be intelligently and efficiently mined with appropriate molecular readouts (AKA “the question vector”) at ever-increasing throughputs presently surpassing 1012 unique molecules in a few hours. Once “matter-in-the-loop” exploration is embraced, AI, ML and other methods can be brought to bear usefully in closed-loop methods to follow veins of opportunity in molecular space. Several examples of mining massive molecular spaces will be presented, including drug discovery, digital pathology, and AI-guided continuous-flow chemical synthesis – all real, all working today.

 Gregory Kovacs, M.D., Ph.D. (EE); Chief Technology Officer, SRI International; Professor Emeritus, Stanford University Biosketch: Greg Kovacs is Chief Technology Officer for SRI International and leads efforts across the Institute to advance SRI’s business model of Invent / Apply / Transition by facilitating research opportunities utilizing science, technology and research talent from all divisions. Kovacs previously served as president of SRI Biosciences for two years.

In the 25 years before joining SRI, Kovacs was a Professor of Electrical Engineering, and by courtesy, Medicine, at Stanford University, primarily researching medical devices. In 2003, his team launched the first professional wearable physiologic monitor capable of wireless, clinical-grade cardiac, respiratory, motion, position and oxygen saturation measurements. He co-founded the Bioengineering Department at Stanford in 2002 and has helped develop the core curriculum. He has authored more than 180 scientific publications, a textbook, and has 63 issued patents. He co-founded several startups, including Cepheid, a molecular diagnostics company that develops molecular diagnostic systems, shipping more than 100 million tests, and PhysioWave, developing non-invasive cardiovascular risk assessment. At DARPA, he served as the director of their Microelectronics Technology Office from 2008 - 2010, overseeing investment of approximately $1.6B in electronics and medical technologies. He holds an M.D. degree and a Ph.D. degree in Electrical Engineering from Stanford University, an M.S. degree in Bioengineering from the University of California, Berkeley and a B.A.Sc. degree in Electrical Engineering from the University of British Columbia. He is a Fellow of the IEEE, AIMBE and the Explorer’s Club.


 

August 13 - 15, 2018 | Marcus Nanotech

Summer 2018 Short Course: Microfabrication

The Institute for Electronics and Nanotechnology (IEN) at Georgia Tech will offer a short course on micro-fabrication from March 20 - 22, 2017. This in­tensive 3 day short course combines classroom lectures and laboratory based hands-on fabrication in the IEN cleanroom. The goal of the course is to impart a basic understanding of the science and technology of micro-fabrication processes as used in academia and industry.

This short course will cover essential micro-fabrication techniques including, photolithography, thin film deposition, etching, packaging, and characterization. Attendees will gain valuable experience by fabricating simple devices in one of the most advanced uni­versity cleanrooms in North America.

Target Audience
Attendance is open to the general technical community and is not limited to current Georgia Tech students or IEN users. Anyone who has an interest in microfabrication is strongly encouraged to attend this course. The course is suitable for both new and experienced researchers interested in micro-fabrication techniques and applications.

A course emphasis will be placed on IEN cleanroom resources, however, the concepts and techniques discussed are applicable to a broad array of research in this field.

Rates: *Rates include lunches on all days*
Georgia Tech Rate: $200
Academic and Government Rate: $400
Industry Rate: $800

Registration Opens July 2018

 


September 21 & 22, 2018 | Marcus Nanotech

Fall 2018 Short Course: Soft Lithography for Microfluidics

The Institute for Electronics and Nanotechnology (IEN) at Georgia Tech will offer a short course on “Soft Lithography for Microfluidics” on September 21 & 22, 2018. This course module is designed for individuals interested in hands-on training in the fabrication of microfluidic devices using the soft lithography technique. This 2 day intensive short course will be structured to assume no prior knowledge of the technologies by the participants. The course agenda is evenly divided between laboratory hands-on sessions, including SU-8 master mold creation using photolithography and PDMS device fabrication in the IEN cleanroom, and supporting lectures.  The goal for this course is to impart a basic understanding of soft lithography for microfluidic applications as practiced in academia and industry.

Target Audience
This short course is open to off-campus researchers from academia, industry and government laboratories/organizations and is not limited to current Georgia Tech students or IEN users. Anyone who is interested in starting research in the area of microfluidics or PDMS device fabrication is invited and strongly encouraged to participate.

Rates: *Rates include lunches on all days*
Georgia Tech Rate: $150
Academic and Government Rate: $300
Industry Rate: $600

Registration Opens July 2018

Enhance Your Lab Skills and Learn to Make a PDMS Device!

 

October 8 & 9, 2018 | Marcus Nanotech

MCF Short Course: Materials Science SEM and X-Ray Microanalysis

 

 

More Details and Registration Available August 2018